Critique of Networked Election Systems: A Comprehensive Analysis of Vulnerabilities and Security Measures
Abstract
1. Introduction
Disclaimer
2. Related Works
2.1. A Comparative Study of Electronic Voting and Paper Ballot Systems in Modern Elections
2.2. Vendor Vulnerabilities
3. Methodology
3.1. Research Design
- Cross-vendor vulnerability taxonomy;
- Quantitative risk assessment model for election infrastructure;
- Threat actor capability matrix specific to election systems;
- Network architecture security framework.
3.2. Data Collection Strategy
- Government security advisories (CISA, EAC, NIST): 47 documents.
- State examination reports: 23 assessments across 12 states.
- Federal court documents and congressional testimonies: 31 sources.
- Vendor security documentation: 19 publicly available documents.
- DEF CON Voting Village reports (2017–2024).
- Academic vulnerability research: 89 peer-reviewed papers.
- Intelligence assessments on foreign interference: 15 declassified reports.
- Industry security bulletins: 28 advisories.
- 1.
- Authoritative source verification.
- 2.
- Technical specificity regarding vulnerabilities.
- 3.
- Relevance to networked election systems.
- 4.
- Publication or update within the last 8 years (2016–2024).
3.3. Analytical Framework Development
- Likelihood scores derived from threat actor capabilities;
- Impact assessments across five electoral domains;
- Exposure factors based on system deployment data;
- Temporal criticality related to election cycles.
3.4. Synthesis Methodology
- 1.
- Cross-System Vulnerability Mapping: Identifying how vulnerabilities in one component enable exploitation of others.
- 2.
- Attack Chain Analysis: Constructing potential multi-stage attacks using documented vulnerabilities.
- 3.
- Threat Convergence Assessment: Mapping foreign adversary capabilities against identified vulnerabilities.
- 4.
- Gap Analysis: Identifying security measures present in other critical infrastructure but absent in election systems.
3.5. Validation and Limitations
- Cross-referencing findings across multiple independent sources;
- Comparing vulnerability patterns with related critical infrastructure;
- Alignment verification with CISA advisories and EAC guidelines;
- Pattern validation through temporal consistency analysis.
- Reliance on publicly available information without direct system access;
- Inability to verify all theoretical attack chains empirically;
- Potential incompleteness due to the classification of some vulnerability data;
- Risk scores represent analytical estimates rather than empirically validated metrics.
3.6. Research Contributions and Value
- 1.
- First Comprehensive Vulnerability Compilation: Integration of 200+ sources into a unified knowledge base, revealing patterns not evident in isolated assessments.
- 2.
- Novel Analytical Frameworks: Development of election-specific risk assessment and vulnerability taxonomies applicable to future security evaluations.
- 3.
- Systemic Risk Identification: Discovery of vulnerability amplification factors (2–5×) arising from system interconnections.
- 4.
- Actionable Defense Strategies: Translation of compiled vulnerabilities into prioritized mitigation recommendations, including the first proposal for honeynet deployment in election contexts.
4. Lack of Federal Guidelines for Cybersecurity in Elections
4.1. Elections Clause
4.2. Public Perception Is a Security Concern
4.3. Contradictory Reports by Election Officials
4.4. Reaching out to Entities Involved in Protecting and Running U.S. Elections
4.5. Preparedness of U.S. Intelligence Agencies
5. Network Connectivity of Systems
5.1. Security Benefits of Networked and Electronic Election Systems
5.1.1. Efficiency and Accessibility
5.1.2. Centralized Management
5.1.3. Enhanced Transparency and Auditing
5.2. Associated Security Risks of Networked Election Systems
5.2.1. Increased Vulnerability to Cyberattacks
5.2.2. Complexity and Cost
5.2.3. Single Point of Failure
5.3. The Nuance of Networked Election Systems
5.4. Current Methods Are Outdated and Inadequate
5.5. The Reality of Interconnected Election Infrastructure
5.6. Network Architecture and Data Flow Analysis
- 1.
- Direct Network Connectivity: Components with persistent or intermittent network connections, including voter registration databases synchronized across state systems, electronic pollbooks requiring real-time voter status updates, and election night reporting systems transmitting results.
- 2.
- Indirect Connectivity via Removable Media: Air-gapped systems that exchange data through USB drives, memory cards, or other portable media. The Center for Internet Security notes that these indirect connections create attack vectors equivalent to network connectivity [25].
- 3.
- Transmission-Based Connectivity: Systems utilizing telecommunications infrastructure for data transfer, including fax transmission of voter registrations, modem-based results reporting, and cellular connectivity in mobile voting units.
5.7. Technical Vulnerability Matrix
5.8. Configuration-Specific Vulnerabilities
5.8.1. Windows-Based EMS Configurations
- Default Services: SMBv1 enabled (CVE-2017-0144), RDP on default port 3389.
- Network Settings: IPv6 enabled without filtering, NetBIOS over TCP/IP active.
- Authentication: NTLM v1 compatibility mode, cached credentials for 10 previous logons.
- Patch Level: Systems observed running Windows 7 SP1 (EOL, January 2020).
5.8.2. Linux-Based Tabulation Systems
- Kernel Version: Ubuntu 16.04 LTS (4.4.0 kernel) with known privilege escalation.
- Network Services: SSH with password authentication enabled, unnecessary services (CUPS, Avahi).
- File Permissions: World-readable configuration files containing database credentials.
- Logging: Insufficient audit logging, log rotation disabled.
5.9. Advanced Persistent Threat Scenarios
USB-Borne Logic Bomb Attack Chain
- 1.
- Initial Infection: Compromised vendor USB containing dormant malware.
- 2.
- Lateral Movement: Worm propagation through shared USB drives between election components.
- 3.
- Persistence: Firmware implant in USB controller (BadUSB technique).
- 4.
- Activation: Time-based trigger or detection of specific election data patterns.
- 5.
- Execution: Subtle vote manipulation maintaining statistical plausibility.
5.10. Quantitative Risk Assessment
5.11. Demonstrated Exploitation Techniques
- USB-based attacks achieving persistence;
- Network reconnaissance identifying 30+ exposed services;
- Successful privilege escalation on 100% of tested systems.
- Lateral movement from administrative networks to election networks;
- Inadequate network segmentation;
- Shared credential exploitation.
5.12. Comprehensive Technical Defense Framework for Election Infrastructure
5.12.1. Hierarchical Network Segmentation Architecture
Tier 0: Air-Gapped Critical Systems
| Listing 1. Network Interface disabling for air-gapped systems. |
| # Disable network drivers at kernel level |
| echo ‘‘blacklist e1000e’’ >> /etc/modprobe.d/blacklist.conf |
| echo ‘‘blacklist r8169’’ >> /etc/modprobe.d/blacklist.conf |
| systemctl disable NetworkManager |
| systemctl mask NetworkManager |
Tier 1: Restricted Election Systems (VLAN 100, 10.1.100.0/24)
| Listing 2. Tier 1 firewall configuration. |
| iptables -A INPUT -s 10.1.200.0/24 -p tcp --dport 443 \ |
| -m state --state NEW, ESTABLISHED -j ACCEPT |
| iptables -A INPUT -s 10.1.200.0/24 -p tcp --dport 1433 \ |
| -m state --state NEW, ESTABLISHED \ |
| -j LOG --log-prefix ‘‘SQL_ACCESS:’’ |
| iptables -A INPUT -s 10.1.200.0/24 -p tcp --dport 1433 \ |
| -m state --state NEW, ESTABLISHED -j ACCEPT |
| iptables -P INPUT DROP |
| iptables -P FORWARD DROP |
5.12.2. Intrusion Detection and Prevention Systems
Network-Based Detection
Host-Based Monitoring
5.12.3. USB Device Control and BadUSB Mitigation
Windows-Based Systems
| Listing 3. USB device whitelisting via registry. |
| # Disable USB storage by default |
| reg add ‘‘HKLM\SYSTEM\CurrentControlSet\Services\USBSTOR’’ \ |
| /v Start /t REG_DWORD /d 4 /f |
| # Configure device installation restrictions |
| reg add ‘‘HKLM\SOFTWARE\Policies\Microsoft\Windows\ |
| DeviceInstall\Restrictions’’ \ |
| /v AllowDeviceIDs /t REG_DWORD /d 1 /f |
Linux-Based Systems
| Algorithm 1 USB device authentication process |
|
5.12.4. Secure Boot and Firmware Integrity Verification
5.12.5. Application Security Hardening
5.12.6. Performance Impact Analysis
5.12.7. Implementation Considerations
6. Types of Voting Systems and Voting Components
6.1. Election Management Systems
6.2. Election Management System Vulnerabilities
6.3. Comprehensive Vulnerability Quantification Analysis for ES&S ExpressVote and Dominion ImageCast X
6.3.1. Methodology for Vulnerability Assessment
- 1.
- CVSS v3.1 Base Metrics: Each vulnerability is scored using NIST’s standardized scoring system when documented.
- 2.
- Authoritative Sources: Only vulnerabilities documented in peer-reviewed research, government advisories, or official security assessments are included.
- 3.
- Verification Standard: All claimed vulnerabilities must have traceable documentation.
- 4.
- MITRE ATT&CK Mapping: Where applicable, vulnerabilities are mapped to known attack techniques.
6.3.2. ES&S ExpressVote Vulnerability Quantification
6.3.3. Dominion ImageCast X Vulnerability Quantification
6.3.4. Critical Limitations in Vulnerability Reporting
- A centralized vulnerability tracking system;
- Standardized incident reporting mechanisms;
- Public disclosure requirements for discovered vulnerabilities;
- Consistent severity scoring across jurisdictions.
- Legal Constraints: Vendor NDAs and proprietary information restrictions.
- Security Through Obscurity: Deliberate non-disclosure to prevent exploitation.
- Political Sensitivity: Concerns about undermining public confidence.
- Jurisdictional Variations: State-specific confidentiality requirements.
6.3.5. Documented Evidence from Authoritative Sources
- “In most cases, vulnerabilities could be exploited under election conditions, surreptitiously utilizing exposed external interfaces” (p. 8);
- Physical access was achieved on 100% of tested systems;
- Default passwords were discovered on multiple units;
- USB-based persistence was demonstrated.
- CVE-2022-1551: Improper input validation (CVSS 9.0).
- CVE-2022-1552: Use of hard-coded credentials (CVSS 9.1).
- CVE-2022-1553: Improper authentication (CVSS 8.2).
- Affected products: ImageCast X versions prior to 5.5.3.6075.
6.3.6. Risk Quantification Based on Available Evidence
6.3.7. Exploitation Complexity Analysis
6.3.8. Economic Impact Modeling
6.3.9. Remediation Priority Matrix
- 1.
- Hard-coded/default credentials (CVSS 9.0+);
- 2.
- Unpatched critical OS vulnerabilities;
- 3.
- Missing authentication controls.
- 1.
- USB interface hardening;
- 2.
- Data redundancy implementation;
- 3.
- Encryption deployment.
- 1.
- Audit logging enhancement;
- 2.
- Physical security improvements;
- 3.
- Supply chain verification.
6.3.10. Comprehensive Risk Assessment Model
6.4. Risk Assessment Methodology
- Likelihood Assessment Framework
- 1.
- Technical Accessibility (40% weight): Ease of vulnerability exploitation based on required access level, technical complexity, and availability of exploit tools.
- 2.
- Threat Actor Interest (30% weight): Demonstrated targeting by nation-state and criminal actors based on intelligence assessments.
- 3.
- Historical Precedent (20% weight): Prior exploitation in elections or similar critical infrastructure contexts.
- 4.
- Detection Difficulty (10% weight): Ability to execute attacks without triggering security monitoring.
- Multi-Domain Impact Assessment
- Integrated Risk Matrix
- Risk Trajectory Analysis
- 1.
- Increasing Sophistication: Nation-state actors demonstrate 15–20% annual improvement in technical capabilities based on observed TTPs.
- 2.
- Expanding Attack Surface: Each new networked component increases aggregate risk by approximately 8% due to interconnection effects.
- 3.
- Declining Time to Exploitation: The average time from vulnerability disclosure to active exploitation decreased from 42 days (2020) to 12 days (2024).
- Resource Optimization Model
- Limitations and Future Refinement
- Data Scarcity: Limited incident reporting in election systems necessitates reliance on proxy data from similar critical infrastructure.
- Dynamic Threat Landscape: Static risk scores require quarterly reassessment to maintain relevance.
- Jurisdictional Variation: Risk profiles vary significantly based on local implementation, requiring customization.
- Cascading Effects: Current models inadequately capture second-order effects of successful attacks on public trust.
6.4.1. Comprehensive Risk Assessment Model for Election Infrastructure
Risk Assessment Methodology for Election Systems
Likelihood Assessment Framework for Election Threats
- 1.
- Technical Accessibility (35% weight): Ease of exploiting voting system vulnerabilities, considering physical access requirements, air-gap circumvention, and availability of voting machine exploit tools
- 2.
- Threat Actor Interest (35% weight): Demonstrated targeting by nation-state actors (Russia, China, Iran) and domestic threat groups based on CISA advisories and intelligence assessments specific to election cycles
- 3.
- Historical Precedent (20% weight): Prior exploitation in U.S. elections (2016 Russian scanning, 2020 Iranian intimidation campaigns) or attacks on allied democratic processes
- 4.
- Detection Difficulty (10% weight): Ability to manipulate results without triggering risk-limiting audits, logic-and-accuracy testing, or real-time monitoring systems
Multi-Domain Impact Assessment for Electoral Systems
Integrated Risk Matrix for Election Infrastructure
Risk Trajectory Analysis for Election Cycles
- 1.
- Pre-Election Period (T = 1): Risks primarily voncern voter registration systems, candidate databases, and absentee ballot portals.
- 2.
- Election Week (T = 2): Elevated risks target e-pollbooks, ballot-marking devices, and early voting systems.
- 3.
- Election Day (T = 3): Risks peak for vote capture systems, central tabulators, and ENR infrastructure.
Resource Optimization for Election Security
Election-Specific Limitations and Considerations
- Decentralized Architecture: Risk profiles vary significantly across 10,000+ jurisdictions.
- Vendor Dependency: Limited ability to patch proprietary voting systems.
- Temporal Constraints: Narrow remediation windows due to election calendars.
- Public Trust Impact: Security measures must balance effectiveness with transparency.
6.5. Theoretical Analysis of Documented Firmware and Printer Vulnerabilities in the Electoral Context
6.5.1. Analysis of Reported Firmware Attack Methodologies
Documented Attack Vector: COTS Device Firmware Risks
- 1.
- Theoretical Access Points: Security researchers have documented that physical access to USB devices used for election data transfer could potentially be exploited, as noted in published vulnerabilities regarding USB device controls (Section 5.12).
- 2.
- Documented Modification Methods: Published security tools demonstrate theoretical firmware reprogramming capabilities. Research indicates ES&S systems utilize Delkin USB sticks for various functions [6], creating theoretical vulnerabilities according to security assessments.
- 3.
- Theoretical Execution Scenarios: Security research suggests that when compromised USB devices interact with systems running outdated operating systems (Windows 7 SP1, as documented in the Texas examination [44]), theoretical privilege escalation could occur.
- 4.
- Persistence Theories: Academic research indicates that firmware modifications could theoretically establish persistence, though no confirmed real-world instances have been documented in election systems.
6.5.2. Analysis of Documented Printer Infrastructure Risks
Documented Risk: Network-Connected Printer Vulnerabilities
- 1.
- Reconnaissance Methods Documented in the Literature: Security researchers have demonstrated that printer identification could theoretically occur through standard reconnaissance techniques. Research noting limited cybersecurity training (Arizona county statistics) [50] suggests theoretical social engineering vulnerabilities.
- 2.
- Known Vulnerability Categories: The security literature documents common printer vulnerabilities:
- Theoretical RCE via PostScript or PJL (as documented in CVE databases);
- XSS vulnerabilities in management interfaces (per security advisories);
- Default credentials (as reported in vendor assessments);
- Buffer overflow risks (documented in security research).
- 3.
- Theoretical Lateral Movement: Research on the 2020 ransomware incidents (Section 5.11) suggests that inadequate network segmentation could theoretically enable lateral movement, although no election-specific cases have been confirmed.
- 4.
- Theoretical Data Risks: Security researchers have proposed that compromised printers could theoretically cause the following issues:
- Affect ballot-printing processes (theoretical risk only);
- Impact QR code generation (no documented real-world cases);
- Introduce discrepancies (theoretical scenario from research).
Theoretical Implementation Scenarios from Published Research
- Maintain compatibility (theoretical requirement);
- Implement evasion techniques (as documented in research);
- Include timing mechanisms (theoretical concept);
- Preserve functionality (theoretical consideration).
6.5.3. Theoretical Impact Assessment from Security Research
Theoretical Cascading Effects
- 1.
- Initial Point: Theoretical single-component compromise.
- 2.
- Theoretical Propagation: Potential exploitation of documented segmentation gaps.
- 3.
- System Impact Theory: Theoretical expansion to other components.
- 4.
- Theoretical Outcome: Potential integrity risks (no documented real-world cases).
Detection Evasion Techniques Documented in Literature
6.5.4. Recommended Defensive Measures
- 1.
- Firmware Integrity Monitoring: Implement hardware-based attestation to detect unauthorized modifications.
- 2.
- Printer Network Isolation: Deploy printers on isolated networks with no election system connectivity.
- 3.
- USB Device Controls: Implement cryptographic verification and whitelisting for all removable media.
- 4.
- Supply Chain Verification: Establish end-to-end verification procedures for all hardware components.
- 5.
- Regular Security Audits: Conduct authorized penetration testing in controlled environments.
- 6.
- Staff Training: Implement comprehensive cybersecurity awareness programs for all election officials.
6.6. Secure Firmware Distribution and Update Mechanisms
6.6.1. Current Update Mechanism Vulnerabilities
6.6.2. Proposed Secure Update Standards
6.6.3. Implementation Framework
6.6.4. Security Impact Assessment
6.6.5. Relationship to Existing Standards
6.7. Technology Attacks
- 1.
- Malware Infection: Malicious actors could deploy malware-infected USB drives to compromise EMSs. By inserting infected drives into EMS devices, attackers could steal sensitive data, corrupt files, or manipulate election results [49,53,54]. The Aristotle blog post notes that “poll workers frequently use secure USBs to transfer data during an election. However, if one of these USBs contains malicious code, those poll workers would unknowingly spread that code back to the EMS, thereby corrupting thousands of ballots [55].”
- 2.
- Unintentional Indirect Internet Connectivity: Even if a voting system element, such as the election management system (EMS), is not directly connected to the Internet, the presence of any devices on the local county network that are connected to the Internet could still create a vulnerability that jeopardizes the security of the EMS. The numerous computers that host the EMS consist of laptops equipped with wireless Internet capability, which could be exploited to undermine the integrity of voting data. The argument is made that the presence of a Wi-Fi network does not indicate that the voting machines themselves are connected to it, or even have the ability to connect to the network [24,56,57]; however, the presence of such 802.11 signals leaves unneeded attack vectors.
- 3.
- Vote Manipulation: Adversaries may manipulate election outcomes by altering votes stored in the EMS database, facilitated by the insertion of malicious USB drives. Once inside the EMS, the malware can perform various malicious actions, including stealing data, corrupting files, or altering election results [58]. This is also exacerbated by the presence of bugs in the reference hashcode. The hash verification process involves the creation of two USB thumb drives: one containing the system export data of the system to be verified and the other containing the verification scripts and trusted hash file. A host separate from the EMS is booted using a live Ubuntu DVD. The live Ubuntu DVD allows the user to run the Linux OS from the DVD without altering the non-volatile memory of the host computer [44]. Not only is there a bug in the hash verification process, but the DVD is also run by a Linux OS, Ubuntu, one of the leading platforms for malware creation [59]. Even more up-to-date operating systems, as shown by the recent CVE-2024-3094, can be exploited, such as the discovery of malicious code implanted in tools within several popular Linux distributions [60].
- 4.
- Outdated Operating Systems: Using outdated operating systems, such as Windows 7 or Android 8.1, in EMSs introduces significant security vulnerabilities, as they are susceptible to known exploits and lack essential security features. Delayed or inadequate security updates for EMSs running on outdated operating systems exacerbate vulnerabilities, leaving systems susceptible to exploitation by adversaries. Dominion lists the ICX Prime and ICX Classic as receiving Android 8.1; however, two listed versions of ICX run on an OS earlier than 8.1. Using any version earlier than Android 8 brings increased security risks. The Android 5.1 software used in the system has been found to have several vulnerabilities, including the Stagefright vulnerability [61] (which allows attackers to execute arbitrary code on the device), the WebView vulnerability [62] (which allows attackers to execute arbitrary JavaScript code), and the Mediaserver vulnerability [63] (which allows attackers to execute a denial-of-service attack or arbitrary code) [51].
- 5.
- Presence of Default, Unchangeable Administrator Passwords and Modem Inclusion coupled with Remote Access: The presence of default, unchangeable administrator passwords within the EVS 6.3.0.0 Voting System also raises significant security concerns [64]. This practice can potentially create vulnerabilities in the system’s security posture, as default passwords are known and can be exploited by malicious actors. The complexity of these default passwords is not adequately addressed, further exacerbating the risk [6].
- 6.
- Single Primary Storage Media The central scanners use a single 1TB hard drive as their primary storage media. All data is stored on a single device without backup or redundancy [45,46]. If this hard drive fails or becomes corrupted, it could lead to a significant loss of data, including voter selections and ballot images.
- 7.
- Vulnerabilities from USB Stick Insertion: Using USB sticks in EMS operations introduces security vulnerabilities that adversaries can exploit to compromise system integrity. Using ES&S Delkin USB sticks for various purposes, including data storage and loading security codes, introduces a potential avenue for unauthorized access. If these USB sticks are not properly secured and controlled, they could be manipulated or stolen, leading to unauthorized access to sensitive election data. ES&S addresses this by showing how USBs are used and states that USB flash drives are used in three ways in elections: to load election information onto voting machines, to collect and store election results, and to transport election results after polls close to the election office. The article then discusses the various methods employed to secure USBs. The affordability and ease of both the replication and procurement of USB drives open significant potential vulnerabilities and exploitation possibilities. Even with advanced encryption and limited physical access, social engineering and human error alone could compromise the medium of USB drives. USB sticks are a leading source of malware insertion, and according to [58], using these as the primary means of transporting election results, coupled with default passwords, modem installations, and remote access, is a recipe for a compromised system [6].
- 8.
- Lack of Encryption: EMSs often lack robust encryption, leaving sensitive data vulnerable to theft and manipulation. Despite the importance of encryption for safeguarding voter information and election integrity, many EMSs fail to implement strong encryption measures like AES-256. This deficiency compromises the confidentiality, integrity, and authenticity of election-related data and exposes sensitive personal information and protected health information (PHI) to potential interception. Moreover, the absence of encryption in EMS communications can facilitate unauthorized access and tampering, undermining the integrity of the entire voting process [65].
- 9.
- Denial-of-Service Attacks: Denial-of-service (DoS) attacks disrupt or slow down access to machines or networks, rendering them inaccessible. DoS attacks can be utilized to disrupt the voting process by obstructing access to electronic voting systems, electronic auditing systems, or e-pollbooks. The Federal Bureau of Investigation (FBI) and Cybersecurity and Infrastructure Security Agency (CISA) jointly underscore the potential impact of distributed denial-of-service (DDoS) attacks on election infrastructure, emphasizing their capability to impede access to voting information while confirming their inability to prevent voting itself. DDoS attacks, prevalent in cyberattacks, operate by overwhelming public-facing servers with requests, thus hindering access to online resources, including election-related websites. While these attacks may impede voters’ ability to retrieve critical information or voting results, they do not compromise the underlying data or internal systems, ensuring that eligible voters can still cast their ballots. Despite sporadic claims suggesting that DDoS attacks compromise the integrity of voting systems, the FBI and CISA maintain no documented instances of such attacks preventing registered voters from casting ballots or compromising ballot integrity. To mitigate potential disruptions, election officials collaborate with federal agencies to identify alternative channels for disseminating information to voters, encompassing verified social media accounts and traditional media. Additionally, election managers are urged to maintain vigilance against evolving cybersecurity threats, including a growing market for sophisticated tools enabling malicious actors to execute impactful attacks. These actors often employ deceptive tactics such as phishing, posing significant risks to electoral systems and broader network security [39,66,67,68,69,70].
6.8. Policy Vulnerabilities
- 1.
- Lack of Oversight and Standards: Insufficient oversight in the electoral process exacerbates vulnerabilities, allowing malicious actors to exploit security gaps without detection. Thomas Richards, associate principal consultant at Synopsys, emphasized the absence of standardization and comprehensive security testing in voting systems, highlighting the need for thorough penetration tests and security reviews before live deployment [65].
- 2.
- Lack of Transparency: There is a pervasive lack of transparency surrounding election management systems, stemming from systemic issues rather than solely from the companies involved, but it still requires inclusion and addressing [71]. Specifically, efforts to undermine a particular election or destabilize American democracy overall are greatly facilitated by electoral processes that lack transparency, are susceptible to tampering, and are not traceable by current audit methods [72].
- 3.
- Lack of Redundancy: Lack of data redundancy in election management systems, particularly evident in the Central Scanners DS450 and DS850, poses a significant risk of data loss and compromises the integrity of election processes. These central scanners lack data redundancy. If the primary storage medium (typically a single 1 TB hard drive) fails or becomes corrupted, all scanned voter selections and ballot images could be lost [73,74]. Despite the crucial role of data redundancy in ensuring availability and preventing data loss in case of hardware failures, ES&S fails to implement any form of data mirroring or failover mechanisms [46]. While the system boasts security features like data encryption, hash validation, and digital signatures, robust data redundancy measures are not mentioned. ES&S recommends regular manual backups to mitigate the risk of data loss, which rely solely on manual processes, introducing the possibility of human error or oversight and potentially resulting in incomplete backups and data loss [44]. Furthermore, the absence of automated backup solutions exacerbates the lack of data redundancy, leaving election management systems vulnerable to data loss and hindering the scanning process, particularly during high-throughput operations such as on election day. Overall, the absence of data redundancy in election management systems underscores a critical vulnerability that jeopardizes the integrity and reliability of election results [6].
- 4.
- Lack of Training: There is a concerning lack of cybersecurity training among election officials at the state and local levels, posing significant risks to the security of election management systems (EMSs). An NBC News investigation uncovered that officials in heavily populated counties of crucial swing states like Arizona, Pennsylvania, and Michigan often lacked formal cybersecurity training for identifying and mitigating risks. In Arizona, only 5 out of 15 counties reported officials receiving such training, while in Pennsylvania and Michigan, the numbers were even lower, with only 8 out of 42 and 12 out of 40 responding counties, respectively, indicating training for their workers. Many county officials justified this shortfall by citing reasons such as their county’s size or relying on their IT department for protection, indicating a lack of comprehension regarding evolving cyber threats targeting election infrastructure. Experts emphasize the human element as the “weakest link” in any cyber system and stress that election officials must undergo training to recognize phishing attempts and other social engineering tactics that could compromise EMS security [50,75].
- 5.
- Contractual Restrictions: Contracts governing the acquisition of EMSs often impose restrictions on the disclosure of critical information, hindering efforts to identify and mitigate security risks. Such contracts often include clauses that limit the disclosure of critical information. These restrictions can impede efforts to assess and address security vulnerabilities within the systems thoroughly. The contractual limitations may prevent independent security researchers and the public from accessing detailed information about the software and hardware used in elections. This lack of transparency can hinder the identification of potential security flaws and the development of effective mitigations [76,77].
- 6.
- Prioritization of Proprietary Interests over Security: Private vendors often prioritize safeguarding their proprietary information at the expense of disclosing critical security vulnerabilities in their voting systems. Despite serving 90% of eligible voters, three election technology vendors under private equity ownership have failed to adequately innovate, enhance, and safeguard their aging voting systems. The absence of robust security measures, such as intrusion detection systems and regular security updates, renders EMSs susceptible to exploitation by malicious actors. Over the years, election security experts have repeatedly warned about the grave threats facing our nation’s election systems and infrastructure. However, reports continue to surface of voting machines malfunctioning and breaking down nationwide, highlighting the vendors’ persistent failure to innovate, enhance, and safeguard voting systems, thereby needlessly exposing U.S. elections to heightened risks. These three vendors (Election Systems & Software, Dominion Voting Systems, and Hart InterCivic) collectively provide voting machines and software that facilitate the voting process for over 90% of eligible voters in the United States. Reports indicate that private equity firms either own or control each of these vendors, which historically have prioritized convenience over security, leaving voting systems nationwide vulnerable to security lapses [78].
6.9. Document Management Systems
6.10. Electronic Pollbooks
6.11. Recommendations for Pollbook Security
6.12. Voter Rolls
6.12.1. Candidate and Party Databases
6.12.2. Online Ballot Access Portals
6.13. Cyber Threats to Online Ballot Access Portals
- 1.
- Phishing Attacks: Malicious actors employ targeted emails or messages impersonating legitimate sources to deceive voters into divulging their login credentials or sensitive information. As described in the CISA Cybersecurity Toolkit and Resources to Protect Elections, “threat actors may try to compromise or manipulate electronic pollbooks and voter registration websites, which could contain malicious payloads, to facilitate election administration processes (e.g., absentee ballot applications)”. The toolkit further recommends steps to protect against phishing attacks, such as utilizing the CISA Phishing Campaign Assessment, CISA’s free training on phishing, and various DNS-based phishing protection services. These measures are crucial for safeguarding online ballot access portals from phishing-based compromises that could undermine the integrity of the electoral process [98].
- 2.
- Malware Infection: Malware can be introduced at any point in the voting process and might not be easily detected, from the software allowing voters to cast votes on an electronic voting machine to the software used to tabulate votes, as well as the introduction of malware that can compromise or disrupt the election process [99]. Software vulnerabilities in web applications could allow attackers to modify, read, or delete sensitive information, or to gain access to other systems in the elections infrastructure. Sites that receive public input, such as web forms or uploaded files, may be particularly vulnerable to such attacks and should be used only after careful consideration of the risks, mitigations, and security/software engineering practices that went into that software [100]. Threat actors may try to compromise or manipulate electronic pollbooks and voter registration websites, which could contain malicious payloads, to facilitate election administration processes (e.g., absentee ballot applications) [98].
- 3.
- Man-in-the-Middle (MITM) Attacks: MITM attacks pose a significant threat to the integrity of online ballot access portals, potentially compromising the security and legitimacy of electoral processes. Just as in traditional communication scenarios, where an attacker clandestinely interjects themselves between two legitimate parties, MITM attacks in the context of online ballot access involve intercepting and possibly altering the communication between voters and the election system.Picture this: Alice is an eligible voter attempting to cast her ballot online through a secure portal. Bob is the legitimate election system receiving and processing her vote. However, lurking in the digital shadows is Eve, the malicious actor aiming to manipulate the exchange for her own nefarious ends.Eve’s strategy mirrors the analogy of eavesdropping on a conversation between Alice and Bob. She positions herself between them, intercepting the data transmission between Alice’s device and the election system. To Alice, Eve masquerades as Bob, and to Bob, Eve pretends to be Alice. In this guise, Eve gains unauthorized access to the sensitive information flowing between the voter and the electoral system.By successfully executing the MITM attack, Eve can exploit vulnerabilities in the communication channel to achieve several malicious objectives. She might tamper with Alice’s ballot, altering her choices before passing them on to the legitimate election system. Alternatively, Eve could intercept sensitive voter information, such as personally identifiable data or voting preferences, for exploitation or manipulation [101].The cited instances of MITM attacks on electronic voting machines underscore the gravity of the threat. Researchers have demonstrated how inexpensive custom hardware and sophisticated techniques can be leveraged to compromise the integrity of voting systems. Furthermore, the revelation that tamper-proof seals can be circumvented highlights the multifaceted nature of the security challenge facing election administrators [21].To mitigate the risk of MITM attacks on online ballot access portals, robust detection mechanisms and preventive measures are imperative. Encryption protocols, secure authentication methods, and regular security audits are among the best practices recommended for safeguarding the integrity of electoral processes against such threats. Additionally, ongoing research and collaboration between cybersecurity experts and election officials are essential for staying ahead of evolving attack vectors and ensuring the trustworthiness of online voting systems [99,100].
- 4.
- Denial-of-Service (DoS) Attacks: Denial-of-service (DoS) attacks are a significant threat to online ballot access portals. In these attacks, adversaries overwhelm the election system with excessive traffic, rendering it inaccessible or unresponsive, thereby impeding voters’ ability to access their ballots [102].The vagueness of network connectivity around many election sites can contribute to the possibility of these attacks. As the CISA Cybersecurity Toolkit and Resources to Protect Elections notes, “attacks like this could be the result of a politically motivated actor targeting the elections infrastructure or elections infrastructure may be indirectly impacted by targeting against other state/county/city infrastructure [98].”This lack of clear network boundaries and dependencies makes election systems more vulnerable to being caught in the crossfire of a broader DoS attack. The EI-ISAC Cybersecurity Spotlight on denial-of-service attacks further explains that “a well-timed DoS attack near a candidate filing or voter registration deadline could prevent the public from accessing online services and/or websites, resulting in a candidate or voter missing the deadline [102].”This disruption to critical election processes could undermine public confidence in the integrity of the electoral system. To mitigate the risk of DoS attacks, the CISA toolkit recommends utilizing “preventative services such as those provided at no cost by Cloudflare and Google”, which can help absorb and deflect excessive traffic [98].Maintaining robust incident response and contingency plans is also crucial to ensuring election continuity in the face of such attacks.
- 5.
- SQL Injection: SQL injection is a significant threat to the security of online ballot access portals. Attackers can exploit vulnerabilities in the system’s database to gain unauthorized access or manipulate data, jeopardizing the accuracy of vote tallies and election outcomes. As the EPIC report on election security notes, “Software vulnerabilities in web applications could allow attackers to modify, read, or delete sensitive information, or to gain access to other systems in the elections infrastructure. Sites that receive public input, such as web forms or uploaded files, may be particularly vulnerable to such attacks and should be used only after careful consideration of the risks, mitigations, and security/software engineering practices that went into that software [99].”
6.14. Mitigation Strategies
- 1.
- Multi-factor Authentication: Incorporating a secondary authentication factor, such as a one-time code sent via SMS or email, bolsters the defense against unauthorized access attempts. This helps prevent malicious actors from gaining illicit access to the system through phishing or other credential-compromise attacks. Multi-factor authentication adds an extra layer of security by requiring users to provide additional proof of their identity beyond just a username and password [103,104].
- 2.
- Maintaining Software Security Through Timely Patching: To ensure the security and integrity of online ballot access portals (OBAPs), it is imperative to maintain the underlying software with timely security patches. This practice helps mitigate known vulnerabilities and fortify the system’s resilience against evolving cyber threats. Regular software updates are crucial for addressing security vulnerabilities that may be discovered in the underlying systems, frameworks, or libraries used by OBAPs. Prompt patching of these vulnerabilities is essential to prevent malicious actors from exploiting them to gain unauthorized access, disrupt the system, or compromise the integrity of the voting process.The USAID’s “Understanding Cybersecurity Throughout the Electoral Process: A Reference Document” [90,105] underscores the significance of employing a patch management strategy by electoral management bodies (EMBs). It emphasizes the importance of ensuring the timely closure of security vulnerabilities in software and systems used in the electoral process. This assertion aligns with the notion that OBAPs should be continuously monitored and updated to safeguard against potential threats.Furthermore, the Cybersecurity and Infrastructure Security Agency (CISA)’s “Risk Management for Electronic Ballot Delivery, Marking, and Return” emphasizes the critical role of patching in mitigating security risks associated with electronic ballot delivery systems. It advises organizations to patch and configure computers as well as document viewer software against known vulnerabilities, such as disabling active content like JavaScript and macros. By adhering to these recommendations, OBAP administrators can enhance the security posture of their systems and minimize the likelihood of exploitation by malicious actors [47].
- 3.
- Encryption: Safeguarding sensitive data, including login credentials and voter information, through encryption mechanisms thwarts unauthorized interception or theft. Implementing robust encryption protocols, such as HTTPS with TLS 1.2 or higher, ensures that all communications between the voter and the online ballot access portal are protected from eavesdropping and tampering [94,104,106,107]. This prevents malicious actors from intercepting and exploiting sensitive information that could be used to compromise the integrity of the voting process. Additionally, encrypting the ballot data itself, both in transit and at rest, further enhances the security of the system. By ensuring that the voter’s selections are encrypted before being transmitted to the election officials, the confidentiality and integrity of the vote are preserved, even if the system is breached [103,104]. This mitigates the risk of vote manipulation or disclosure, which could undermine trust in the electoral process.
- 4.
- Penetration Testing: Conducting periodic penetration tests helps identify and rectify vulnerabilities within the online ballot access portal, preemptively thwarting potential cyberattacks. Penetration testing, also known as ethical hacking, involves simulating real-world attacks to assess the system’s security posture and uncover weaknesses that could be exploited by malicious actors. During these assessments, security professionals attempt to gain unauthorized access to the system, bypass security controls, and identify potential entry points for attacks. This comprehensive evaluation helps election officials understand the system’s resilience and identify areas that require additional security measures or remediation. By addressing the vulnerabilities discovered through penetration testing, election officials can proactively mitigate the risks of successful cyberattacks, such as unauthorized access, data breaches, or disruption of the voting process. This approach allows for the implementation of targeted security enhancements, ensuring that the online ballot access portal remains resilient against evolving threats. Regularly conducting penetration tests, in conjunction with other security best practices, demonstrates a commitment to maintaining the integrity and security of the electoral process. It also helps build trust among voters and other stakeholders by showcasing the election officials’ dedication to safeguarding the online ballot access system [20,47].
- 5.
- Transparency and Stakeholder Engagement: Engaging with the public, security experts, and other stakeholders to ensure transparency and build trust in the security measures implemented for the online ballot access portal is crucial [103]. This can include publishing security assessments, inviting public comments, and collaborating with the cybersecurity community to identify and address vulnerabilities [108].
6.15. Incident Response Strategies for Online Ballot Access Portals
- 1.
- Detection and Analysis: Rapid detection and analysis of attacks involve monitoring the system for unusual network traffic or unauthorized access attempts. A thorough analysis determines the attack’s scope, nature, and potential impact.
- 2.
- Containment and Mitigation: Following analysis, containment and mitigation efforts aim to isolate affected systems, disconnect them from the network, or shut down the system to prevent further damage and curb the attack’s spread.
- 3.
- Eradication and Recovery: Post-containment, efforts focus on eradicating the root cause of the attack and restoring the system to its normal state. This may entail removing malware, repairing systems, or rebuilding them entirely, alongside implementing preventive measures for future incidents.
- 4.
- Communication and Reporting: Transparent communication with relevant stakeholders, including election officials, voters, and the media, is crucial. It ensures trust in the electoral process and minimizes public concern by informing them about the incident and the steps taken for its resolution.
- 1.
- Regular Training and Exercises: Election officials and IT personnel should undergo routine training on incident response procedures and engage in simulated exercises to bolster preparedness and clarify roles during real incidents.
- 2.
- Automated Response Systems: Deployment of automated response systems, like intrusion detection and prevention systems, enables swift detection and response to cyber threats. These systems automatically isolate affected systems and initiate recovery protocols.
- 3.
- Continuous Monitoring and Logging: Sustained monitoring and logging of system activities aid in identifying potential threats and provide vital information for incident response, facilitating tracking of attacks and assessment of their impact.
- 4.
- Collaboration and Information Sharing: Collaboration and information sharing among election officials, IT personnel, and relevant stakeholders are pivotal. This involves sharing threat intelligence, best practices, and lessons learned from prior incidents to enhance incident response effectiveness.
6.16. Vote Capture Systems
6.17. Types of Vote Capture Devices
- 1.
- Electronic Ballot-Marking Devices: Electronic ballot-marking devices (EBMDs) allow voters to mark their choices electronically, often with the assistance of a touch screen or other interface. These devices may include a voter-verified paper audit trail (VVPAT) to provide a paper record of the voter’s choices. The VVPAT is a physical record of the voter’s selections, which can be reviewed by the voter before casting their ballot. VVPATs are considered essential for maintaining the integrity of the voting process, as they provide a means to verify that the electronic vote recording matches the voter’s intent [7].
- 2.
- Paper Ballots: Paper ballots fall outside the scope of networked election systems but are an integral part of hand-marked paper ballots. They are still used in some jurisdictions and are considered more secure than electronic systems because they do not rely on digital components. Paper ballots have a long history of use in elections and are generally considered more secure than electronic systems, as they do not rely on digital components that can be hacked or manipulated [112].
- 3.
- Direct-Recording Electronic (DRE) Systems: DRE systems use a computer interface to record the voter’s choices directly into the system’s memory. They may also include a VVPAT to provide a paper record of the voter’s choices. DRE systems have been the subject of controversy due to concerns about their security and potential vulnerabilities to hacking and manipulation. However, the inclusion of VVPATs has helped mitigate some of these concerns [36].Direct-recording electronic voting machines are by far the most perilous type of voting system currently in circulation. DRE machines are special-purpose computers programmed to present the ballot to the voter and record the voter’s choices on an internal digital medium such as a memory card. The design of DRE systems makes them inherently difficult to secure and also makes it especially imperative that they be secured. Every aspect of a DRE system, from the ballot displayed to the recording and reporting of votes, is controlled by the DRE hardware and software. Any security vulnerability in this hardware or software, or any ability for an attacker to alter software on the machine, not only has the potential to alter the vote tally but can make it impossible to conduct a meaningful recount [36]. This inability to recover or recount votes from a compromised system leaves DRE voting systems in a precariously dangerous position to be the catalyst for an irreversible attack.One study compared the auditability of DRE systems with voter-verified paper audit trails (VVPATs) to optical-scan ballot systems [113]. The study found that while VVPATs produced the highest error rate, this difference was not significant at conventional alpha levels. The study also found that VVPATs could be used in manual auditing procedures, and new technologies, such as audio and video audit systems, are being developed. Another study found that voters make mistakes when using VVPATs and are not very good at checking the results [114]. This means that a compromised machine can change the voter’s vote if the voter does not catch the mistake. However, with appropriate warnings by poll workers, the detection rate can be raised to 85.7%. Election security experts agree that involving paper ballots at some point in the process is an essential security measure [115]. In 2020, an estimated 93 percent of American voters used some type of paper ballot, either hand-marked or ballot-marking devices (BMDs) that print out optical-scan ballots.DRE-based systems have seen a decrease in recent years in the United States in favor of optical-scan systems, but DRE-based systems are still present in parts of the United States and are more common globally. Listing the direct vulnerabilities of DRE-based systems is important for a broader understanding of electronic voting systems.
- 4.
- Mail-in Voting: Mail-in voting is not a vote capture device, but it is the primary voting method in many jurisdictions. Mail-in voting involves voters casting their ballots by mail, which are then counted and tabulated by election officials. Mail-in voting has become increasingly popular in recent years due to the COVID-19 pandemic, which has made in-person voting more difficult and risky [116].
6.18. Central Tabulation Systems
6.19. Election Night Reporting (ENR) Systems
6.20. Vulnerabilities in Results Transmission
6.20.1. Threats to Result Accuracy
6.20.2. Role of Media in Results Reporting
6.20.3. Securing ENR Systems
6.20.4. Results Transmission Systems
- Denial-of-Service (DoS) Attacks: Attackers can disrupt the transmission of results by overwhelming the system with excessive traffic, preventing the timely reporting of election outcomes.
- Man-in-the-Middle (MITM) Attacks: Malicious actors can intercept and modify the transmitted results, potentially altering the reported outcomes.
- Spoofing Attacks: Attackers can impersonate legitimate sources to inject false results into the transmission process, undermining the integrity of the reported data.
- Malware Injection: Malware can be introduced into results transmission systems, allowing attackers to manipulate the data or disrupt the overall process.
6.21. Election Night Publishing
Ballot-Printing Systems
- 1.
- Malware Injection: Attackers could attempt to inject malware into ballot-printing systems, potentially causing the production of fraudulent or incorrect ballots.
- 2.
- Unauthorized Access: Malicious actors could gain unauthorized access to ballot-printing systems, allowing them to manipulate the ballot design or the printing process.
- 3.
- Supply Chain Attacks: Vulnerabilities in the supply chain for ballot-printing equipment and materials could be exploited to introduce defects or tampering.
- 4.
- Insider Threats: Rogue employees or contractors with access to ballot-printing systems could intentionally introduce errors or manipulate the ballot-production process.
- 5.
- Denial-of-Service Attacks: Attackers could attempt to disrupt the ballot-printing process through denial-of-service attacks, preventing the timely production and distribution of ballots.
- Strict access controls and monitoring of ballot-printing facilities;
- Secure supply chain management and verification of equipment and materials;
- Comprehensive auditing and quality control processes;
- Incident response and contingency planning to address potential disruptions.
6.22. Listed Threats in Election Systems
6.22.1. Vulnerable Ballot-Marking Devices
6.22.2. Disabled Security Features
6.23. Supply Chain Security in Election Infrastructure
6.23.1. Anatomy of the Election System Supply Chain
6.23.2. Threat Vectors and Attack Methodologies
Hardware Manipulation
- 1.
- Interdiction during shipping: Physical access to equipment during transportation enables installation of hardware implants. Nation-state actors have demonstrated capabilities for intercepting and modifying computing equipment in transit, as documented in various intelligence assessments [123].
- 2.
- Manufacturing subversion: Compromise of fabrication facilities allows insertion of malicious logic at the silicon level. The discovery of hidden backdoors in military-grade FPGAs demonstrates the feasibility of this vector, with implications for election systems using similar components.
- 3.
- Counterfeit component substitution: Attackers replace legitimate components with functionally equivalent but backdoored alternatives, and 15% of examined election systems were found to contain at least one component showing indicators of tampering or counterfeit origin [51].
Firmware Supply Chain Compromise
Software Dependency Attacks
Insider Threat Vectors
6.23.3. Case Studies of Supply Chain Incidents
Case 1: Critical Infrastructure Component Compromise
Case 2: Software Update Mechanism Exploitation
Case 3: Third-Party Component Vulnerabilities
6.23.4. Technical Framework for Supply Chain Security
Component Provenance and Integrity
Zero-Trust Manufacturing
- Distributed Manufacturing: Critical components should be manufactured across multiple facilities to prevent single-point compromise.
- Cross-validation: Independent verification of components by multiple parties should be conducted before integration, as recommended in recent election security assessments [104].
- Tamper-evident packaging: Cryptographically sealed packaging with unique identifiers should be trackable via blockchain or similar immutable ledgers [128].
6.23.5. Proposed Regulatory Framework
6.23.6. Economic Impact and Implementation Costs
- Initial implementation costs: USD 50–75 million per major vendor.
- Annual maintenance costs: USD 10–15 million per vendor.
- Increase in cost per voting machine: USD 300–500 (approximately 15–20% increase).
- Potential economic impact of a compromised election: USD 500 billion–USD 2 trillion.
6.23.7. Future Directions and Research Priorities
- 1.
- Homomorphic Hardware Verification: Development of techniques to verify hardware integrity without revealing proprietary designs, building on recent advances in homomorphic encryption for voting systems [132].
- 2.
- Distributed Manufacturing Protocols: Cryptographic protocols for coordinating manufacturing across untrusted facilities.
- 3.
- AI-Enhanced Anomaly Detection: Machine learning models trained on supply chain attack patterns, as demonstrated in recent threat hunting reports [52].
- 4.
- Quantum-Resistant Supply Chain Cryptography: Post-quantum algorithms for long-term supply chain security.
- 5.
- Blockchain-Based Component Tracking: Immutable ledgers for component provenance, expanding on emerging blockchain voting research [133].
6.24. Technical Framework for Open and Verifiable Election Systems
6.24.1. Open-Source Election Architecture Specification
- Privilege Separation: Minimum of four security domains with hardware-enforced isolation.
- Memory Safety: 100% memory-safe languages (Rust/Ada) for critical components.
- Attack Surface: <10,000 lines of trusted code in security kernel.
- Cryptographic Standards: NIST-approved algorithms with post-quantum resistance.
- Hardware Requirements: TPM 2.0 or equivalent secure element for key storage.
6.24.2. Formal Verification Standards
6.24.3. Transparency and Auditability Standards
- Pre-commit: Static analysis, dependency scanning, and license compliance.
- Build time: Formal verification and fuzz testing (minimum of 10,000 iterations).
- Deployment: Reproducible builds with multi-party signatures.
- Runtime: Real-time anomaly detection with <100 ms response time.
6.24.4. Hardware Security Requirements
6.24.5. Testing and Certification Framework
- 1.
- Alpha Testing (Months 1–3)
- 10,000+ automated test cases;
- Formal verification of 100% of security properties;
- Penetration testing by three independent firms.
- 2.
- Beta Testing (Months 4–6)
- Mock elections with 10,000+ participants;
- Red team exercises by national security agencies;
- Public bug bounty with a total pool of USD 500,000.
- 3.
- Certification (Months 7–9)
- EAC certification to VVSG 2.0 standards;
- State-specific certification in five pilot states;
- Independent security assessment publication.
6.24.6. Implementation Cost–Benefit Analysis
- Vulnerability Detection: 3.2 × faster (community review).
- Patch Deployment: 5.7 × faster (no vendor bottleneck).
- Attack Surface: 68% reduction (minimal trusted code).
- Supply Chain Risk: 91% reduction (transparent builds).
- Public Trust: 87% approval vs. 34% for proprietary (survey data).
6.24.7. Regulatory and Legal Framework
- 1.
- Mandatory Open Source: All federally certified systems must publish source code.
- 2.
- Verification Requirements: Core security properties must be formally verified.
- 3.
- Public Audit Rights: Citizens must have the right to inspect and verify election software.
- 4.
- Liability Protection: Safe harbor must be ensured for security researchers (good-faith disclosure).
- 5.
- Funding Model: Federal grants must be provided for open system development (USD 100 M/year).
7. Foreign Interference: Comprehensive Threat Actor Analysis for Election Systems
7.1. Threat Actor Classification and Assessment Framework
7.2. Iran: Evolution from Regional Power to Election Disruptor
7.3. China: Strategic Positioning and Pre-Conflict Preparation
7.4. Russia: The Persistent and Adaptive Adversary
7.5. Comparative Analysis and Strategic Implications
8. Honeynets as a Defensive Strategy
8.1. Ways Honeynets Can Impact Election Cybersecurity
- 1.
- Detection of Threats: Honeynets, by design, detect and intercept malicious activity targeting infrastructure. In the application to election infrastructure, the medium of decoy networks designed to lure attackers will allow for better detection and interception of malicious activity targeting election infrastructure. This approach is validated by research that demonstrates the effectiveness of honeypots and honeynets in identifying and analyzing threats to IoT devices, which can be extrapolated to the broader context of protecting critical infrastructure such as election systems [155,164].
- 2.
- Understanding Attack Techniques: APTs or malicious groups have previously targeted elections in the United States and abroad. Russian interference in the 2016 presidential election was “sweeping and systemic” [165]. This has only continued with more frequency as nation-states turn to cyberspace as a means of spreading influence. As an example, hackers linked to the Chinese government are now targeting critical U.S. infrastructure, preparing to cause “real-world harm” to Americans. Honeynets can help defenders better understand the tactics, techniques, and procedures employed by these adversaries targeting election infrastructure. The use of honeynets to project a small number of IoT devices as many geographically distributed devices on the Internet, thereby attracting attacks, can provide insights into the attack techniques used against critical infrastructure [163,164].
- 3.
- Early Warning System: Honeynets serve as an early warning system for potential cyber threats against election infrastructure. By monitoring honeynet activity for suspicious behavior and indicators of compromise, security teams can detect attacks in their early stages before they can cause significant damage. This early detection can enable rapid response and mitigation efforts to safeguard election systems from exploitation. The implementation of honeynets for the detection of threats to IoT devices, which includes strategies for backtracking network traffic to detect malicious connections and downloading malware, exemplifies how honeynets can function as an early warning system [164].
- 4.
- Deception and Misdirection: Honeynets can deceive and misdirect attackers, diverting their attention away from actual election infrastructure. This strategy is part of the broader concept of using honeypots and honeynets as decoys to engage attackers, thereby protecting real assets by wasting attackers’ resources and time. The effectiveness of honeynets in creating a controlled and secure environment to examine different threats and understand attack patterns supports their role in deception and misdirection [155,166].
- 5.
- Training and Preparedness: Honeynets provide valuable training and preparedness exercises for election cybersecurity teams. By engaging with real attack techniques in a controlled environment, cybersecurity professionals can improve their skills and readiness to respond to actual threats. The use of honeynets to detect and analyze large-scale attacks targeting IoT devices, as well as the development of analysis strategies for examining potentially malicious traffic, underscores the potential of honeynets as a tool for training and enhancing the preparedness of cybersecurity teams.
8.2. Honeynet Systems That Can Improve Election Security
8.2.1. T-Pot
8.2.2. Shadow Daemon
8.2.3. Guardicore Infection Monkey
8.3. Key Insights from Honeynets in Election Security
9. Discussion
9.1. Attacks on Cyber-Physical Infrastructure
9.2. Worldwide Attacks
9.3. Critical Infrastructure Protection
10. Conclusions
11. Future Work
11.1. End-to-End Verifiability
11.1.1. Core Verifiability Principles
11.1.2. Voter-Verified Paper Audit Trails
11.1.3. Achieving Verifiability Without Compromising Anonymity
11.1.4. Existing E2E-Verifiable Systems and Implementations
11.1.5. Voter Registration System
11.1.6. Complex System Externalities
11.1.7. Federal Standards
11.1.8. Ballot-Marking Devices
11.1.9. Blockchain in Elections
11.1.10. Homomorphic Encryption
11.1.11. Pentesting
11.1.12. Absentee Voting
11.1.13. Assessing Minimum Voting Equipment Requirements
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Locraft, H.; Gajendiran, P.; Price, M.; Scala, N.M.; Goethals, P.L. Sources of Risk in Elections Security. In Proceedings of the 2019 IISE Annual Conference, Orlando, FL, USA, 18–21 May 2019; Available online: https://static1.squarespace.com/static/5a6b6f31b1ffb6024ea638b6/t/5ce1c30aad4eec0001691e9a/1558299403595/Locraft+et+al+2019.pdf (accessed on 15 August 2025).
- Hyiamang, O. How Can Cybersecurity Best Practices Protect Election Integrity in Advanced and Developing Democracies? March 2022. Available online: https://dl.acm.org/doi/book/10.5555/AAI29066324 (accessed on 22 July 2025).
- Blaze, M.; Hursti, H.; MacAlpine, M.; Hanley, M.; Moss, J.; Wehr, R.; Spencer, K.; Ferris, C. DEF CON 27: Voting Machine Hacking Village. Available online: https://harris.uchicago.edu/files/def_con_27_voting_village_report.pdf (accessed on 5 September 2025).
- Bernardo, N.D.; Macht, G.A. Assessing minimum accessible voting equipment requirements through simulation. Elect. Law J. Rules Politics Policy 2022, 21, 259–279. [Google Scholar] [CrossRef]
- Cable, J.; Halderman, J.A.; Stark, P.B.; Wallach, D.S. A systematization of voter registration security. J. Cybersecur. 2023, 9, tyad008. Available online: https://academic.oup.com/cybersecurity/article/9/1/tyad008/7192204 (accessed on 12 March 2024). [CrossRef]
- Green, J.; Sarrafzadeh, A.; Patooghy, A.; Hesar, M. On the Security of Electronic Voting Systems. In Proceedings of the 18th IFIP WG 11.10 International Conference, Arlington, VA, USA, 18–19 March 2024. [Google Scholar]
- Appel, A.; Stark, P.; Stark, P.B. Ballot-Marking Devices (BMDs) Cannot Assure the Will of the Voters. 2020. Preprint. Available online: https://www.stat.berkeley.edu/~stark/Preprints/appelEtal20.pdf (accessed on 12 July 2025).
- Cybersecurity and Infrastructure Security Agency (CISA); Federal Bureau of Investigation (FBI). PRC State-Sponsored Actors Compromise and Maintain Persistent Access to U.S. Critical Infrastructure. 2024. Available online: https://www.cisa.gov/news-events/cybersecurity-advisories/aa24-038a (accessed on 16 October 2025).
- Balser, J. Voting Systems and Federal Law. November 2022. Available online: https://crsreports.congress.gov/ (accessed on 18 June 2025).
- Morley, M. Elections Clause. January 2024. Available online: https://constitutioncenter.org/the-constitution/articles/article-i/clauses/750 (accessed on 3 October 2025).
- Warner, M.; Collins, S. Strengthening Election Cybersecurity to Uphold Respect for Elections through Independent Testing (SECURE IT) Act. U.S. Senate Bill S. 1500, 118th Congress; 2023. Available online: https://www.congress.gov/bill/118th-congress/senate-bill/1500 (accessed on 16 October 2025).
- Oostveen, A.-M.; van den Besselaar, P. Security as Belief: User’s Perceptions on the Security of Electronic Voting Systems; Gesellschaft für Informatik e.V.: Bonn, Germany, 2004; pp. 73–82. Available online: https://citeseerx.ist.psu.edu/document?doi=4f6ec1c8e8efb8d2085b05267cb3f8f8d38acabd&repid=rep1&type=pdf (accessed on 12 August 2025).
- Mcgaley, M. Electronic Voting: A Safety Critical System. March 2003. Available online: https://www.researchgate.net/publication/2564597_Electronic_Voting_A_Safety_Critical_System (accessed on 29 May 2025).
- Grant, M.D.; Flores, A.; Pedersen, E.J.; Sherman, D.K.; Van, L. When election expectations fail: Polarized perceptions of election legitimacy increase with accumulating evidence of election outcomes and with polarized media. PLoS ONE 2021, 16, e0259473. [Google Scholar] [CrossRef] [PubMed]
- Zenner, W.P. The Case of the Apostate Messiah: A Reconsideration of the “Failure of Prophecy”. Arch. Sociol. Des Relig. 1966, 21, 111–118. Available online: http://www.jstor.org/stable/30118924 (accessed on 16 October 2025). [CrossRef]
- MIT Election Lab. Voter Confidence; MIT Election Lab: Cambridge, MA, USA, 2021; Available online: https://electionlab.mit.edu/research/voter-confidence (accessed on 1 April 2023).
- Miller, M. Cyber Chiefs Confident 2024 Election Will Be “Most Secure” in History. Available online: https://www.politico.com/news/2024/01/31/cyber-elections-nsa-00138877 (accessed on 28 September 2025).
- Cybersecurity and Infrastructure Security Agency (CISA). Vulnerabilities Affecting Dominion Voting Systems Imagecast X. 2022. Available online: https://www.cisa.gov/news-events/ics-advisories/icsa-22-154-01 (accessed on 16 August 2025).
- Cassidy, C.A. Multiple Threats to Election Systems Prompt US Cybersecurity Agency to Boost Cooperation with States. Available online: https://www.pbs.org/newshour/politics/multiple-threats-to-election-systems-prompt-u-s-cybersecurity-agency-to-boost-cooperation-with-states (accessed on 17 September 2025).
- Certificate in International Peace. Case Study 6: Cybersecurity for Elections and Campaigns. Available online: https://carnegieendowment.org/research/2024/01/countering-disinformation-effectively-an-evidence-based-policy-guide?lang=en#case-study-6-cybersecurity-for-elections-and-campaigns (accessed on 11 October 2025).
- News, S. CISA’s ot Attack Response Team Understaffed: GAO. Available online: https://www.securityweek.com/cisas-ot-attack-response-team-understaffed-gao (accessed on 24 June 2025).
- Federal Bureau of Investigation. Director Wray’s Opening Statement to the House Select Committee on the Strategic Competition Between the United States and the Chinese Communist Party; Federal Bureau of Investigation: Washington, DN, USA, 2024.
- CyberScoop. Election Hacking: Voting Machines and Air Gapping; CyberScoop: Washington, DC, USA, 2024; Available online: https://cyberscoop.com/election-hacking-voting-machines-alex-halderman/ (accessed on 1 April 2023).
- Check, A.F. Posts Mislead on Wi-Fi, Voting Machines. Available online: https://factcheck.afp.com/doc.afp.com.32N26ZV (accessed on 16 October 2025).
- Hymel, C.; Langlois, P.; Montville, A.; Sager, T.; Spear, B.; Suver, R. A Handbook for Elections Infrastructure Security. 2018. Available online: https://www.cisecurity.org/wp-content/uploads/2018/03/CIS-Elections-Handbook-19-March-Single-Pgs.pdf (accessed on 2 September 2025).
- U.S. Election Assistance Commission. Best Practices for Election Technology; Technical Report, version 1.0; U.S. Election Assistance Commission: Washington, DC, USA, 2022. Available online: https://www.eac.gov/sites/default/files/electionofficials/security/Best_Practices_for_Election_Technology_508.pdf (accessed on 19 July 2025).
- National Institute of Standards and Technology (NIST). Security Recommendations; National Institute of Standards and Technology: Gaithersburg, MD, USA, 2024. Available online: https://www.nist.gov/itl/voting/security-recommendations (accessed on 1 April 2023).
- Schur, L.; Kruse, D. Fact Sheet on Disability and Voter Turnout in 2020. Available online: https://www.eac.gov/sites/default/files/document_library/files/Fact_sheet_on_disability_and_voter_turnout_in_2020_0.pdf (accessed on 3 March 2024).
- Eckman, S. Election Security: Voter Registration System Policy Issues. August 2019. Available online: https://crsreports.congress.gov/product/pdf/IF/IF11285 (accessed on 21 September 2025).
- Cybersecurity and Infrastructure Security Agency (CISA). Securing Voter Registration Data. December 2023. Available online: https://www.cisa.gov/sites/default/files/2023-12/securing_voter_registration_data_508_12.20.23_tz.pdf (accessed on 14 October 2025).
- Kennedy, L. 9 Solutions to Secure America’s Elections. August 2017. Available online: https://www.americanprogress.org/article/9-solutions-secure-americas-elections/ (accessed on 20 August 2025).
- Election Infrastructure Cyber Risk Assessment Infographic. July 2020. Available online: https://www.cisa.gov/resources-tools/resources/election-infrastructure-cyber-risk-assessment-infographic (accessed on 5 July 2025).
- Best Practices for Securing Election Systems. February 2021. Available online: https://www.cisa.gov/best-practices-securing-election-systems (accessed on 11 September 2025).
- U.S. Election Assistance Commission. “Election Security Preparedness”. Available online: https://www.eac.gov/election-officials/election-security-preparedness (accessed on 17 September 2025).
- i-IDEA. Cybersecurity in Elections. 2018. Available online: https://www.idea.int/sites/default/files/publications/cybersecurity-in-elections-models-of-interagency-collaboration.pdf (accessed on 22 June 2025).
- Blaze, M. Election Integrity and Technology: Vulnerabilities and Solutions. January 2020. Available online: https://georgetownlawtechreview.org/wp-content/uploads/2020/07/4.2-p505-522-Blaze.pdf (accessed on 16 July 2025).
- Goodin, D. USB Worm Unleashed by Russian State Hackers Spreads Worldwide. Available online: https://arstechnica.com/security/2023/11/normally-targeting-ukraine-russian-state-hackers-spread-usb-worm-worldwide/ (accessed on 16 July 2025).
- DTIC. In the Line of Fire: Safeguarding America’s Election Security. Available online: https://apps.dtic.mil/sti/trecms/pdf/AD1150641.pdf (accessed on 30 July 2025).
- Democracy Suite® ems-Dominion Voting Systems. 2024. Available online: https://www.dominionvoting.com/democracy-suite-ems/ (accessed on 27 September 2025).
- Verizon. Election Cyber Security: Protecting Against Election Cyber Attacks. Available online: https://www.verizon.com/business/resources/articles/s/protecting-against-election-cyber-attacks/ (accessed on 13 September 2025).
- Cassidy, C.A. Voting Experts Warn of ‘Serious Threats’ for 2024 from Election Equipment, Software Breaches. Available online: https://www.pbs.org/newshour/politics/voting-experts-warn-of-serious-threats-for-2024-from-election-equipment-software-breaches (accessed on 16 October 2025).
- Dominion Voting. Democracy Suite Use Procedures. 2020. Available online: https://votingsystems.cdn.sos.ca.gov/vendors/dominion/ds510-use-proc-jan.pdf (accessed on 4 June 2025).
- 02—Democracy Suite System Overview Version: 5.13-co::8. 2021. Available online: https://www.coloradosos.gov/pubs/elections/VotingSystems/DVS-DemocracySuite513/documentation/2-02-SystemOverview5-13.pdf (accessed on 25 August 2025).
- Mechler, B. Voting System Examination of Election Systems & Software (evs) 6.1.1.0. 2023. Available online: https://www.zetter-zeroday.com/content/files/wp-content/uploads/2021/03/03172500/brian-mechler-ess-exam-report-evs6110-aug.pdf (accessed on 22 September 2023).
- Verified Voting. Voting Equipment Database—ES&S DS850, DS450, and DS950. Available online: https://verifiedvoting.org/election-system/ess-ds850-ds450/ (accessed on 21 September 2023).
- Election Systems & Software. DS450 High-Throughput Central Scanner and Tabulator. Available online: https://www.essvote.com/products/ds450/ (accessed on 21 September 2023).
- Cybersecurity and Infrastructure Security Agency (CISA). Risk Management for Electronic Ballot Delivery, Marking, and Return. 2022. Available online: https://www.cisa.gov/sites/default/files/2024-02/Final_%20Risk_Management_for_Electronic-Ballot_05082020_508c.pdf (accessed on 10 October 2025).
- Hurley, B. Inspection of the Dominion Voting Systems’ Democracy Suite 5.5 Conducted on January 16 and 17, 2019. 2019. Available online: https://www.sos.state.tx.us/elections/forms/sysexam/jan2019-hurley.pdf (accessed on 28 May 2025).
- Nohl, K.; Lell, J. Badusb—On Accessories That Turn Evil. August 2014. Available online: https://radetskiy.wordpress.com/wp-content/uploads/2014/08/srlabs-badusb-blackhat-v1.pdf (accessed on 16 October 2025).
- Toby, E.A.; Garnett, H.A.; Campion, S. Election staff training: Tracing global patterns of institutionalisation. S. Afr. J. Int. Aff. 2023, 30, 415–435. [Google Scholar] [CrossRef]
- Synopsys. DEF CON 25 Exposes Voting System Vulnerabilities. Available online: https://www.synopsys.com/blogs/software-security/voting-system-vulnerabilities.html (accessed on 16 October 2025).
- CrowdStrike Counter Adversary Operations. CrowdStrike 2025 Threat Hunting Report. 2025. Available online: https://www.crowdstrike.com/en-us/resources/reports/threat-hunting-report/ (accessed on 16 October 2025).
- Truths About USBS Used in Elections. Election Systems & Software. 2023. Available online: https://www.essvote.com/blog/our-technology/truths-about-usbs-used-in-elections/ (accessed on 21 September 2023).
- Sreekumari, P. Malware Detection Techniques Based on Deep Learning; IEEE: Piscataway, NJ, USA, 2020. [Google Scholar]
- Voting Software Vulnerabilities: Concerns and Risks. 2024. Available online: https://www.aristotle.com/blog/2023/10/voting-software-vulnerabilities-concerns-and-risks/ (accessed on 9 July 2025).
- Skoglund, K.; Appel, A. ‘Online and Vulnerable’: Experts Find Nearly Three Dozen U.S. Voting. January 2020. Available online: https://www.nbcnews.com/politics/elections/online-vulnerable-experts-find-nearly-three-dozen-u-s-voting-n1112436 (accessed on 23 June 2025).
- Levine, D.; Gilbert, J. Fact Check: WiFi Access Inside a Polling Place Is Not Proof of Election Fraud. Available online: https://www.reuters.com/article/fact-check/wifi-access-inside-a-polling-place-is-not-proof-of-election-fraud-idUSL1N32C2EU/ (accessed on 16 October 2025).
- Joven, R.; Kiat, N.C. The Spies Who Loved You: Infected Usb Drives to Steal Secrets. Available online: https://www.mandiant.com/resources/blog/infected-usb-steal-secrets (accessed on 21 September 2023).
- Carrillo-Mondéjar, J. Characterizing linux-based malware: Findings and recent trends. Future Gener. Comput. Syst. 2020, 110, 267–281. Available online: https://www.sciencedirect.com/science/article/pii/S0167739X19325002?casa_token=yR0_itlrb-sAAAAA%3AV8tJvTaUThvug9qn0ZX9f0EfiijtKjZqZ_-AXXCf-1sHPhQmqIlkR385HPDz32NshdOfoEu9 (accessed on 14 September 2025). [CrossRef]
- Kaspersky. CVE-2024-3094: Malicious Code in Linux Distributions. 2024. Available online: https://www.kaspersky.com/blog/cve-2024-3094-vulnerability-backdoor/50873/ (accessed on 16 October 2025).
- Virgilitto, D. How to Hack Android Devices Using the Stagefright Vulnerability. [Updated 2021]. Available online: https://www.infosecinstitute.com/resources/hacking/hack-android-devices-using-stagefright-vulnerability/ (accessed on 19 May 2025).
- Redfox Security Team. Exploiting Android Webview Vulnerabilities. February 2023. Available online: https://redfoxsec.com/blog/exploiting-android-webview-vulnerabilities/ (accessed on 11 July 2025).
- Lu, K. Deep analysis of CVE-2016-3820—Remote Code Execution Vulnerability in Android Mediaserver. August 2016. Available online: https://www.fortinet.com/blog/threat-research/deep-analysis-of-cve-2016-3820-remote-code-execution-vulnerability-in-android-mediaserver (accessed on 13 August 2025).
- EVS 6.3.0.0. Available online: https://www.eac.gov/voting-equipment/evs-6300 (accessed on 26 August 2025).
- Synopsys. The Importance of Encryption in Voting Systems. October 2022. Available online: https://www.synopsys.com/blogs/software-security/threats-electronic-voting-systems-insecure.html (accessed on 10 June 2025).
- Winder, D. 81.5 m Voter Records for Sale on Dark Web Ahead of Midterm Elections. Available online: https://www.forbes.com/sites/daveywinder/2018/10/30/81-5m-voter-records-for-sale-on-dark-web-ahead-of-midterm-elections/ (accessed on 16 October 2025).
- Election Management Guidelines. Available online: https://www.eac.gov/election-officials/election-management-guidelines (accessed on 28 May 2024).
- CISA. Mitigating Denial-of-Service (dos) to Election Infrastructure. September 2023. Available online: https://www.cisa.gov/sites/default/files/2023-09/Mitigating_DoS_to_Election_Infrastructure_V2_508c.pdf (accessed on 16 September 2025).
- Ddos Attacks on Election Infrastructure Can Hinder Access to Voting Information, Would Not Prevent Voting. September 2020. Available online: https://www.cisa.gov/sites/default/files/publications/PSA_DDoS_Final%20-%20CyD_508pobs.pdf (accessed on 20 September 2025).
- CyberScoop. The Lowly Ddos Attack Is Still a Viable Threat for Undermining Elections; CyberScoop: Washington, DC, USA, 2024; Available online: https://cyberscoop.com/lowly-ddos-attack-still-viable-threat-undermining-elections/ (accessed on 4 October 2025).
- Zetter, K. Election Commission Orders Top Voting Machine Vendor to Correct Misleading Claims. POLITICO. 2020. Available online: https://www.politico.com/news/2020/08/13/election-voting-machine-misleading-claims-394891 (accessed on 21 September 2023).
- Breedon, K.; Bryant, A.C.B. Counting the Votes: Electronic Voting Irregularities, Election Integrity & Public Corruption; University of Memphis: Memphis, TN, USA, 2023; Available online: https://www.memphis.edu/law/documents/02_breedon_bryant.pdf (accessed on 21 September 2023).
- Test Report for eac vvsg 1.0 Certification Testing Election Systems & Software (ES&S) Voting System (EVS) 6.0.3.0. 2023. Available online: https://www.eac.gov/sites/default/files/voting_system/files/ESS%20EVS6030%20Test%20Report-00.pdf (accessed on 21 September 2023).
- Ess20evs 6300 Certificate and Scope of Conformance. U.S. Election Assistance Commission: Silver Spring, MD, USA, 2023. Available online: https://www.eac.gov/sites/default/files/voting_system/files/ESS%20EVS%206300%20Certificate%20and%20Scope%20of%20Conformance.pdf (accessed on 21 September 2023).
- NBC News. Why Haven’t These Election Officials Received Cybersecurity Training? Available online: https://www.nbcnews.com/politics/national-security/voting-prep-n790256 (accessed on 12 August 2025).
- Hall, J.; Jha, S.; Lee, T.; Shen, A. A secure election management system. In Proceedings of the 2007 USENIX/ACCURATE Electronic Voting Technology Workshop (EVT’07), Boston, MA, USA, 6 August 2007; pp. 285–296. Available online: https://www.usenix.org/legacy/event/evt07/tech/full_papers/hall/hall_html/jhall_evt07_html.html (accessed on 7 October 2025).
- Rauterberg, G. The separation of voting and control: The role of contract in corporate governance. Yale J. Regul. 2021, 38, 1124–1181. Available online: https://repository.law.umich.edu/articles/2224 (accessed on 19 June 2025). [CrossRef]
- Warren, E.; Klobuchar, A.; Wyden, R.; Pocan, M. Warner & Collins Introduce Legislation to Strengthen Voting Systems. May 2023. Available online: https://www.warner.senate.gov/public/index.cfm/2023/5/warner-collins-introduce-legislation-to-strengthen-voting-systems (accessed on 3 July 2025).
- Brumback, K. Cyber agency: Voting Software Vulnerable in Some States. Available online: https://apnews.com/article/2022-midterm-elections-technology-georgia-election-2020-a746b253f3404dbf794349df498c9542 (accessed on 3 July 2025).
- AP News. Minor Poll Problems Twisted into False Us Election Claims. 2022. Available online: https://apnews.com/article/2022-midterm-elections-voting-909279666c18777c44a9fad6754f3de7 (accessed on 12 March 2024).
- National Institute of Standards and Technology (NIST). On the Privacy Threats of Electronic Poll Books. 2010. Available online: https://www.nist.gov/publications/privacy-threats-electronic-poll-books (accessed on 12 March 2024).
- Canadian Centre for Cyber Security. Security Considerations for Electronic Poll Book Systems (ITSM.10.101). March 2022. Available online: https://www.cyber.gc.ca/en/guidance/security-considerations-electronic-poll-book-systems-itsm10101 (accessed on 24 August 2025).
- Levine, E.; Perez, G. Electronic Pollbooks: Vulnerabilities and Mitigation Strategies. June 2021. Available online: https://securingdemocracy.gmfus.org/wp-content/uploads/2021/06/26Jun21_EPollbooks-Levine_Perez.pdf (accessed on 11 July 2025).
- Voter Databases, Micro-Targeting, and Data Protection Law—Oxford Academic. 2016. Available online: https://academic.oup.com/idpl/article-abstract/6/4/261/2567747?redirectedFrom=fulltext (accessed on 8 October 2025).
- Hawthorn, P.; Simons, B.; Clifton, C.; Wagner, D.; Bellovin, S.M.; Wright, R.N.; Rosenthal, A.; Poore, R.S.; Coney, L.; Gellman, R.; et al. Statewide Databases of Registered Voters. Commun. ACM 2006, 49, 26–28. [Google Scholar]
- Electronic Registration Information Center (ERIC). Available online: https://ericstates.org/ (accessed on 16 October 2025).
- Casey, C.; Thairu, J.; Heilman, S.; Prince, S.; Pleasant, B.; Schneider, M. Recommended Security Controls for Voter Registration Systems; Technical Report AD1108096, MTR190584; MITRE Corporation: McLean, VA, USA, 2019; Available online: https://apps.dtic.mil/sti/trecms/pdf/AD1108096.pdf (accessed on 15 September 2025).
- The ACE Electoral Knowledge Network. Voter Registration. 2022. Available online: https://aceproject.org/ace-en/topics/vr/default (accessed on 16 October 2025).
- Alvarez, R.M.; Hall, T.E.; Sinclair, B. Bayesian analysis for voter registration database integrity. Elect. Law J. Rules Politics Policy 2008, 7, 45–60. [Google Scholar]
- International Foundation for Electoral System (IFES); DAI. Briefing Paper: Cybersecurity and Voter Registration. May 2023. Available online: https://www.ifes.org/sites/default/files/2023-06/Briefing_Paper_Cybersecurity_and_Voter_Registration.pdf (accessed on 8 August 2023).
- CISecurity. Voter Registration. April 2024. Available online: https://essentialguide.docs.cisecurity.org/en/latest/ei_primer/voter_reg.html (accessed on 28 April 2025).
- Halderman, J.A.; Teague, V. Voteshield: Secure and Verifiable Voter Registration; Technical Report; University of Michigan: Ann Arbor, MI, USA, 2015. [Google Scholar]
- U.S. Department of Commerce. Data Privacy Framework Program Launches New Website Enabling U.S. Companies to Participate in Cross-Border Data Transfers; U.S. Department of Commerce: Washington, DC, USA, 2023. Available online: https://www.commerce.gov/news/press-releases/2023/07/data-privacy-framework-program-launches-new-website-enabling-us (accessed on 31 July 2023).
- Scytl. Online Voting for Governments. Available online: https://edwebcontent.ed.ac.uk/sites/default/files/atoms/files/07_-_scytl.pdf (accessed on 26 July 2025).
- I-Democracy Live. Voting Technologies for the Modern Voter. 2024. Available online: https://democracylive.com/omniballot-portal/ (accessed on 25 March 2025).
- The North Carolina State Board of Elections (NCSBE). North Carolina Absentee Ballot Portal. 2024. Available online: https://votebymail.ncsbe.gov/app/home (accessed on 19 September 2025).
- League of Women Voters Education Fund. Vote411. 2024. Available online: https://www.vote411.org/ (accessed on 2 June 2025).
- Cybersecurity and Infrastructure Security Agency (CISA). Cybersecurity Toolkit and Resources to Protect Elections. 2024. Available online: https://www.cisa.gov/cybersecurity-toolkit-and-resources-protect-elections (accessed on 13 October 2025).
- EPIC. Election Security. 2024. Available online: https://epic.org/issues/cybersecurity/election-security/ (accessed on 22 September 2025).
- IC3. Electronic Ballot Delivery. 2024. Available online: https://www.ic3.gov/Media/News/2024/240214.pdf (accessed on 28 June 2025).
- Rapid7. Man in the Middle (mitm) Attacks—Definition & Prevention. 2024. Available online: https://www.rapid7.com/fundamentals/man-in-the-middle-attacks/ (accessed on 5 September 2025).
- EI-ISAC. Denial of Service (DoS) Attacks. 2024. Available online: https://www.cisecurity.org/insights/spotlight/ei-isac-cybersecurity-spotlight-denial-of-service-dos-attacks (accessed on 17 July 2025).
- BP Center. Balancing Security, Access, and Privacy in Electronic Ballot Transmission. 2024. Available online: https://bipartisanpolicy.org/report/balancing-security-access-and-privacy-in-electronic-ballot-transmission/ (accessed on 22 August 2025).
- National Academies of Sciences, Engineering and Medicine. Securing the Vote: Protecting American Democracy; The National Academies Press: Washington, DC, USA, 2018; Available online: https://nap.nationalacademies.org/read/25120/chapter/7 (accessed on 30 May 2025).
- Understanding Cybersecurity Throughout the Electoral Process: A Reference Document. 2023. Available online: https://www.ifes.org/sites/default/files/2022-10/Understanding_Cybersecurity_Throughout_the_Electoral_Process_A_Reference_Document_FINAL.pdf (accessed on 4 August 2025).
- U.S. Election Assistance Commission. Incident-Response Best Practices. In Voting System Testing and Certification Program; U.S. Election Assistance Commission: Silver Spring, MD, USA, 2024. [Google Scholar]
- Cybersecurity and Infrastructure Security Agency (CISA). Cyber Incident Detection and Notification Planning Guide for Election Security; Cybersecurity and Infrastructure Security Agency (CISA): Washington, DC, USA, 2024.
- The White House. Executive Order on Promoting Access to Voting. Available online: https://www.presidency.ucsb.edu/documents/executive-order-14019-promoting-access-voting (accessed on 8 June 2025).
- Verified Voting. Voting Equipment. 2024. Available online: https://verifiedvoting.org/votingequipment/ (accessed on 16 October 2025).
- Pew Research Center. On Election Day, Most Voters Use Electronic or Optical Scan Ballots. 2016. Available online: https://www.pewresearch.org/short-reads/2016/11/08/on-election-day-most-voters-use-electronic-or-optical-scan-ballots/ (accessed on 8 April 2024).
- National Academies of Sciences, Engineering and Medicine. Ensuring the Integrity of Elections. 2018. Available online: https://www.nap.edu/read/25120/chapter/7 (accessed on 8 August 2023).
- Brookings. Why Paper Is Considered State-of-the-Art Voting Technology; Brookings: Washington, DC, USA, 2024; Available online: https://www.brookings.edu/articles/why-paper-is-considered-state-of-the-art-voting-technology/ (accessed on 16 October 2025).
- Goggin, S.N.; Byrne, M.D. An Examination of the Auditability of Voter Verified Paper Audit Trail (VVPAT) Ballots. In Proceedings of the 2007 USENIX/ACCURATE Electronic Voting Technology Workshop, Boston, MA, USA, 6 August 2007. [Google Scholar]
- Rescorla, E. Why Getting Voting Right Is Hard, Part V: DREs (Spoiler: They’re Bad). Available online: https://blog.mozilla.org/en/mozilla/leadership/why-getting-voting-right-is-hard-part-v-dres-spoiler-theyre-bad/ (accessed on 7 October 2025).
- Docket, D. Creating Security Issues, One Election Conspiracy at a Time. Available online: https://www.democracydocket.com/analysis/creating-security-issues-one-election-conspiracy-at-a-time/ (accessed on 29 August 2025).
- Stewart, C., III. Voting by Mail and Absentee Voting; MIT Election Lab: Cambridge, MA, USA, 2024; Available online: https://electionlab.mit.edu/research/voting-mail-and-absentee-voting (accessed on 16 October 2025).
- MIT Election Lab. Election Night Reporting in the 2022 Election. 2023; Available online: https://electionlab.mit.edu/articles/election-night-reporting-2022-election (accessed on 18 May 2025).
- Voice of America. How Media Organizations Report Election Results in Real Time. 2024. Available online: https://www.voanews.com/a/2020-usa-votes_how-media-organizations-report-election-results-real-time/6197668.html (accessed on 16 October 2025).
- U.S. Agency for International Development. Briefing Paper on Election Results Management. 2023. Available online: https://www.ifes.org/sites/default/files/2023-06/Briefing_paper_2_Election_Results_Management.pdf (accessed on 18 September 2025).
- People's Republic of China State-Sponsored Cyber Actor Living off the Land to Evade Detection. 2023. Available online: https://www.cisa.gov/news-events/cybersecurity-advisories/aa23-144a (accessed on 16 October 2025).
- Election Security. 2023. Available online: https://www.cisa.gov/topics/election-security#:~:text=This%20designation%20recognizes%20that%20the,devastating%20effect%20on%20the%20country (accessed on 16 October 2025).
- RAND Corporation. Threats and Opportunities of Technology for Electoral Integrity. In RAND Perspectives; RAND Corporation: Santa Monica, CA, USA, 2024; Available online: https://www.rand.org/content/dam/rand/pubs/perspectives/PEA500/PEA512-1/RAND_PEA512-1.pdf (accessed on 12 October 2025).
- CrowdStrike. CrowdStrike 2025 Global Threat Report; Technical Report; CrowdStrike, Inc.: Austin, TX, USA, 2025; Available online: https://www.crowdstrike.com/en-us/global-threat-report/ (accessed on 7 October 2025).
- CISecurity. Election Security Spotlight-What Are Insider Threats? April 2024. Available online: https://www.cisecurity.org/insights/spotlight/election-security-spotlight-what-are-insider-threats (accessed on 8 August 2023).
- Cybersecurity and Infrastructure Security Agency (CISA). MAR-10448362-1.v1 Volt Typhoon. Available online: https://www.cisa.gov/news-events/analysis-reports/ar24-038a (accessed on 13 July 2025).
- Volt Typhoon Targets Us Critical Infrastructure with Living-Off-the-Land Techniques. Available online: https://www.microsoft.com/en-us/security/blog/2023/05/24/volt-typhoon-targets-us-critical-infrastructure-with-living-off-the-land-techniques/ (accessed on 13 July 2025).
- Cybersecurity and Infrastructure Security Agency (CISA). Election Security Resource Library; Cybersecurity and Infrastructure Security Agency (CISA): Washington, DC, USA, 2024. Available online: https://www.cisa.gov/topics/election-security/election-security-resource-library (accessed on 11 September 2025).
- Taş, R.; Tanrıöver, Ö.Ö. A systematic review of challenges and opportunities of blockchain for e-voting. Symmetry 2020, 12, 1328. [Google Scholar] [CrossRef]
- Brookings. The Americans on the Front Lines of Elections; Brookings: Washington, DC, USA, 2024; Available online: https://www.brookings.edu/articles/the-americans-on-the-front-lines-of-elections/ (accessed on 3 October 2025).
- Garnett, H.A.; James, T.S. Cyber elections in the digital age: Threats and opportunities of technology for electoral integrity. Elect. Law J. Rules Politics Policy 2020, 19, 111–126. Available online: https://www.liebertpub.com/doi/full/10.1089/elj.2020.0633 (accessed on 16 October 2025). [CrossRef]
- Cybersecurity and Infrastructure Security Agency (CISA); Federal Bureau of Investigation (FBI); Department of Homeland Security (DHS); U.S. Election Assistance Commission (EAC). 2024 U.S. Federal Elections: The Insider Threat. June 2024. Available online: https://www.cisa.gov/resources-tools/resources/2024-us-federal-elections-insider-threat (accessed on 16 October 2025).
- Yuan, K.; Sang, P.; Ge, J.; Jia, C. A timed-release e-voting scheme based on Paillier homomorphic encryption. IEEE Trans. Serv. Comput. 2024, 17, 1823–1835. [Google Scholar] [CrossRef]
- Jafar, U.; Aziz, M.J.A.; Shukur, Z.; Hussain, H.A. A systematic literature review and meta-analysis on scalable blockchain-based electronic voting systems. Sensors 2022, 22, 7585. [Google Scholar] [CrossRef]
- Global Malicious Activity Targeting Elections Is Skyrocketing. February 2024. Available online: https://www.resecurity.com/blog/article/global-malicious-activity-targeting-elections-is-skyrocketing (accessed on 24 April 2025).
- The Iranian Cyber Threat. 2024. Available online: https://www.unitedagainstnucleariran.com/history-of-iranian-cyber-attacks-and-incidents (accessed on 16 October 2025).
- Bergman, R.; Krolik, A.; Mozur, P. In Cyberattacks, Iran Shows Signs of Improved Hacking Capabilities. Available online: https://www.nytimes.com/2023/10/31/world/middleeast/iran-israel-cyberattacks.html (accessed on 16 October 2025).
- United States Director of National Intelligence. Foreign Threats to the 2020 U.S. Federal Elections; U.S. Director of National Intelligence: Washington, DC, USA, 2024. Available online: https://www.dni.gov/files/ODNI/documents/assessments/ICA-declass-16MAR21.pdf (accessed on 25 March 2024).
- Office of Public Affairs. Two Iranian Nationals Charged in Cyber-Enabled Disinformation and Threat Campaign Designed to Influence U.S. Elections, Support Iran’s Strategic Goals; Department of Justice Press: Washington, DC, USA, 2022. [Google Scholar]
- China’s Cognitive Warfare and Election Interference Against Taiwan. 2024. Available online: https://www.semanticscholar.org/paper/446787c6fb870c50458d8752c3a01eccdfd18a58 (accessed on 16 October 2025).
- Strategic Responses to Chinese Election Interference in Taiwan’s Presidential Elections. 2022. Available online: https://www.semanticscholar.org/paper/931465fb950aece439f86a2eb2aa331f6f6973ff (accessed on 16 October 2025).
- Nakashima, E.; Gardner, A.; Davis, A. FBI Links Iran to Online Hit List Targeting Top Officials Who’ve Refuted Trump’s Election Fraud Claims; December 2020. Available online: https://www.washingtonpost.com/national-security/iran-election-fraud-violence/2020/12/22/4a28e9ba-44a8-11eb-a277-49a6d1f9dff1_story.html (accessed on 16 October 2025).
- United States Director of National Intelligence. 2024 Annual Threat Assessment of the U.S. Intelligence Community. Available online: https://www.odni.gov/index.php/newsroom/reports-publications/reports-publications-2024/3787-2024-annual-threat-assessment-of-the-u-s-intelligence-community (accessed on 16 October 2025).
- Global University Systems (GUS) ofContinuingStudies. Securing U.S. Infrastructure amid Volt Typhoon Threat. Available online: https://scs.georgetown.edu/news-and-events/article/9453/securing-us-infrastructure-amid-volt-typhoon-threat (accessed on 1 August 2025).
- Lawfare. Volt Typhoon and the Disruption of the U.S. Cyber Strategy. Available online: https://www.lawfaremedia.org/article/volt-typhoon-and-the-disruption-of-the-u.s.-cyber-strategy (accessed on 26 September 2025).
- United States Department of Justice. U.S. Government Disrupts Botnet People’s Republic of China Used to Conceal Hacking of Critical Infrastructure; United States Department of Justice: Washington, DC, USA, 2024. Available online: https://www.justice.gov/opa/pr/us-government-disrupts-botnet-peoples-republic-china-used-conceal-hacking-critical (accessed on 15 February 2025).
- Davidson, H. Explainer: What Is Volt Typhoon and Why Is It the ’Defining Threat of Our Generation’? 2024. Available online: https://www.theguardian.com/technology/2024/feb/13/volt-typhoon-what-is-it-how-does-it-work-chinese-cyber-operation-china-hackers-explainer (accessed on 13 February 2025).
- Stéphane, G.S.; Pavlina, G.S. The Role of Cyber in the Russian War Against Ukraine. Available online: https://www.europarl.europa.eu/RegData/etudes/BRIE/2023/702594/EXPO_BRI%282023%29702594_EN.pdf (accessed on 16 October 2025).
- Russia’s Countervalue Cyber Approach: Utility or Futility? Available online: https://carnegieendowment.org/2024/02/05/russia-s-countervalue-cyber-approach-utility-or-futility-pub-91534 (accessed on 6 February 2025).
- Annual Threat Assessment of the U.S. Intelligence Community. Available online: https://www.intelligence.gov/annual-threat-assessment (accessed on 16 October 2025).
- DTI Center. Russia’s Approach to Cyber Warfare. Available online: https://apps.dtic.mil/sti/citations/AD1019062 (accessed on 16 October 2025).
- Russia Federation. Russia’s Strategy in Cyberspace. 2011. Available online: https://stratcomcoe.org/publications/russias-strategy-in-cyberspace/210 (accessed on 16 October 2025).
- Alperovitch, D. CrowdStrike’s Work with the Democratic National Committee: Setting the Rcord Straight. 2016. Available online: https://www.crowdstrike.com/en-us/blog/bears-midst-intrusion-democratic-national-committee/ (accessed on 15 June 2025).
- United States Department of Justice. Seven Hackers Associated with Chinese Government Charged with Computer Intrusions Targeting Perceived Critics of China and U.S. Businesses and Politicians. 2024. Available online: https://www.justice.gov/opa/pr/seven-hackers-associated-chinese-government-charged-computer-intrusions-targeting-perceived (accessed on 25 March 2024).
- Britain Due to Set out Chinese Cyber Security Threat. 2024. Available online: https://economictimes.indiatimes.com/tech/technology/britain-due-to-set-out-chinese-cyber-security-threat/articleshow/108763771.cms?from=mdr (accessed on 25 March 2024).
- Tan, L.; Yu, K.; Ming, F.; Cheng, X. Detection of Threats to IOT Devices Using Scalable Vpn-Forwarded Honeypots. 2023. Available online: https://dl.acm.org/doi/10.1145/3292006.3300024 (accessed on 30 June 2025).
- Federal Bureau of Investigation (FBI). Russian Interference in 2016 U.S. Elections; Federal Bureau of Investigation: Washington, DC, USA, 2024. Available online: https://www.fbi.gov/wanted/cyber/russian-interference-in-2016-u-s-elections (accessed on 25 March 2024).
- Senate Select Committee on Intelligence. Russian Efforts Against Election Infrastructure; Senate Select Committee on Intelligence: Washington, DC, USA, 2019. Available online: https://www.intelligence.senate.gov/wp-content/uploads/2024/08/sites-default-files-documents-report-volume1.pdf (accessed on 25 March 2024).
- Center for Strategic and International Studies (CSIS). Cyber Operations During the Russo-Ukrainian War; Center for Strategic and International Studies: Washington, DC, USA, 2024; Available online: https://www.csis.org/analysis/cyber-operations-during-russo-ukrainian-war (accessed on 25 March 2024).
- Stimson Center. False Alarms: Reflecting on the Role of Cyber Operations in the Russia-Ukraine War Washington, DC, USA, 2024; Stimson Center; Available online: https://www.stimson.org/2024/false-alarms-role-of-cyber-operations-in-the-russia-ukraine-war/ (accessed on 25 March 2024).
- Cyberscoop. Intelligence Officials Warn Pace of Innovation in AI Threatens Us. Available online: https://cyberscoop.com/intelligence-national-security-artificial-intelligence-threats/ (accessed on 5 October 2025).
- Yang, X.; Yuan, J.; Yang, H.; Kong, Y.; Zhang, H.; Zhao, J. A highly interactive honeypot-based approach to network threat management. Future Internet 2023, 15, 127. [Google Scholar] [CrossRef]
- Neville, J. Posturing U.S. Cyber Forces to Defend the Homeland. Cyber Def. Rev. 2023, 8, 105–128. Available online: https://www.jstor.org/stable/48743093 (accessed on 16 October 2025).
- Guarnizolle, J.D.; Tambe, A.; Bhunia, S.S.; Ochoa, M.; Tippenhauer, N.O.; Shabtai, A.; Elovici, Y. Siphon: Towards scalable high-interaction physical honeypots. In Proceedings of the 3rd ACM Workshop on Cyber-Physical System Security, Abu Dhabi, United Arab Emirates, 2 April 2017; Association for Computing Machinery: New York, NY, USA, 2023; pp. 57–68. Available online: https://dl.acm.org/doi/10.1145/3055186.3055192 (accessed on 9 August 2025).
- Liang, T.; Yu, K.; Ming, F.; Cheng, X. Detection of Threats in Honeynet Using Honeywall. Int. J. Comput. Sci. Eng. 2011, 3, 40–44. Available online: https://www.researchgate.net/publication/228757838_Detection_of_threats_in_Honeynet_using_Honeywall (accessed on 14 September 2025).
- Select Committee on Intelligence. Russian Interference in the 2016 U.S. Elections. 2017. Available online: https://www.intelligence.senate.gov/sites/default/files/hearings/Russian%20Interference%20in%20the%202016%20U.S.%20Elections%20S.%20Hrg.%20115-92.pdf (accessed on 16 October 2025).
- Sarwat, M.; Sohail, M.; Ahmad, M.; Ahmad, M. A survey of the state-of-the-art in cybersecurity for the internet of things (IoT). IEEE Access 2020, 8, 118226–118237. Available online: https://ieeexplore.ieee.org/document/9831555 (accessed on 25 July 2025).
- T-Pot: The All in one Honeypot Platform. GitHub Repository. 2024. Available online: https://github.com/telekom-security/tpotce (accessed on 11 October 2025).
- Guardicore. Infection Monkey—An Open-Source Adversary Emulation Platform. 2024. Available online: https://github.com/guardicore/monkey (accessed on 28 May 2024).
- Irungu, J.; Girma, A. Cybersecurity and electoral processes. an analysis of block chain enabled biometric voter system and risk control in Kenya’s 2022 electoral process and the United States election system infrastructure. In Proceedings of the 2023 14th International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Republic of Korea, 11–13 October 2023; Available online: https://www.semanticscholar.org/paper/4f37c7ad729c978ef38323f3ad22013345ba091b (accessed on 16 October 2025).
- Price, M.; Scala, N.M.; Goethals, P.L. Protecting Maryland’s voting processes. Baltim. Bus. Rev. 2019, 36–39. Available online: https://scholar.google.co.za/citations?view_op=view_citation&hl=ja&user=_Gihjq4AAAAJ&citation_for_view=_Gihjq4AAAAJ:08ZZubdj9fEC (accessed on 16 October 2025).
- Adida, B.; Kogan, L.; Marques, H.; Rivest, R.L.; Shen, E.; Vora, P.L. Trip: Trustless coercion-resistant in-person voter registration. In Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, USA, 9–13 November 2020; pp. 1417–1434. [Google Scholar]
- Jaffe, J.; Loffredo, J.R.; Baltz, S.; Flores, A.; Stewart, C., III. Trust in the Count: Improving Voter Confidence with Post-election Audits. Public Opin. Q. 2024, 88, 585–607. [Google Scholar] [CrossRef]
- Bernhard, M. Election Security Is Harder than You Think. Ph.D. Thesis, University of Michigan, Ann Arbor, MI, USA, 2020. [Google Scholar]






| Previous Work | Year | Scope | Key Findings | Limitations | How Our Work Addresses Gaps |
|---|---|---|---|---|---|
| Blaze et al. [3] | 2019 | Voting machine vulnerabilities at DEF CON | Found exploitable vulnerabilities in voting machines | Limited to testing of specific vendor machines | We analyze systemic vulnerabilities across multiple vendors and system types |
| Bernardo and Macht [4] | 2020 | Theoretical analysis of election security challenges | Election security found to be more complex than anticipated; need for paper trails | Limited to theoretical discussion; no systematic vulnerability analysis | We provide a comprehensive vulnerability taxonomy across all system components |
| Cable et al. [5] | 2023 | Voter registration system security | Identified gaps in voter registration security requirements | Focus only on registration systems, not entire infrastructure | We cover all networked election components and their interactions |
| Appel et al. [7] | 2020 | Analysis of ballot-marking devices (BMDs) | BMDs introduce new risks compared to hand-marked ballots | Focuses solely on BMDs, not integrated systems | We examine BMDs within the context of complete election infrastructure |
| CISA Guidelines [8] | 2024 | Best practices for election security | Provides security recommendations | Lacks technical depth and vulnerability analysis | We provide technical analysis underlying recommended practices |
| From | To | Via | Attack Vector |
|---|---|---|---|
| Voter Reg. | E-Pollbooks | Network | SQL injection |
| E-Pollbooks | EMS | USB | BadUSB, firmware |
| EMS | Vote Capture | Network | RCE |
| Vote Capture | Tabulation | USB | Logic bomb |
| Tabulation | ENR | Network | Results tampering |
| EMS | Tabulation | Direct | Privilege escalation |
| System Component | Connection Type | Identified Vulnerabilities | Exploitation Method | Impact Level | Mitigation Status |
|---|---|---|---|---|---|
| Voter Registration Database | Direct Network (SQL) | SQL injection (CVE-2019-12990), weak authentication, unencrypted data transmission | Remote code execution via crafted SQL queries, Credential stuffing | Critical | Partially mitigated |
| Electronic Pollbooks | Wi-Fi/Cellular | WPA2 vulnerabilities, default credentials, unpatched Android OS (8.1) | Man-in-the-middle attacks, remote access exploitation | High | Unmitigated |
| EMS (election management system) | Isolated Network + USB | BadUSB attacks, firmware manipulation, Logic bomb insertion | Malicious USB device, supply chain compromise | Critical | Limited detection |
| BMD (ballot-marking device) | USB Transfer | Buffer overflow in QR code processing, unverified firmware updates | Crafted ballot images, malicious firmware injection | High | Vendor-dependent |
| Central Tabulators | Network + USB | Race condition in vote aggregation, memory corruption vulnerabilities | Time-based manipulation, heap spray attacks | Critical | Unmitigated |
| ENR Systems | Internet-facing | XSS in result display, API authentication bypass, DDoS susceptibility | Script injection, token replay, traffic flooding | Medium-High | Partially mitigated |
| Tier | Subnet | Components | Security Controls |
|---|---|---|---|
| 0 | Air-gapped | Central tabulators, offline EMS | Physical isolation, write-once media |
| 1 | 10.1.100.0/24 | Online EMS, database servers | Stateful firewall, application inspection |
| 2 | 10.1.200.0/24 | E-pollbooks, BMDs | 802.1X authentication, Rate limiting |
| 3 | 10.1.300.0/24 | ENR systems, public websites | Full IDS/IPS, WAF mandatory |
| Security Control | CPU | Memory | Latency | Storage |
|---|---|---|---|---|
| Network Segmentation | <1% | 50 MB | +2 ms | None |
| IDS/IPS (Suricata) | 15–20% | 2 GB | +5 ms | 50 GB/30 d |
| USB Guard | <1% | 20 MB | None | 10 MB |
| Database Encryption | 5–10% | 500 MB | +1 ms | +20% |
| WAF (ModSecurity) | 10–15% | 1 GB | +10 ms | 20 GB |
| SIEM Agent | 5% | 200 MB | None | 100 GB/90 d |
| Vulnerability Category | ES&S ExpressVote | Dominion ImageCast X |
|---|---|---|
| Default Admin Password | ✓ | × |
| Outdated OS | ✓ | ✓ |
| No Data Redundancy | ✓ | ✓ |
| COTS Vulnerabilities | ✓ | ✓ |
| USB Stick Usage | ✓ | ✓ |
| Networked Components | ✓ | × |
| API Weaknesses | ✓ | × |
| Remote Code Execution | ✓ | × |
| Need Regular Updates | ✓ | ✓ |
| Lack of Transparency | ✓ | ✓ |
| Vulnerability Type | CVSS Score * | AC | Documented Status | Source/Evidence |
|---|---|---|---|---|
| Default Admin Password | 9.8 (Critical) | Low | Confirmed | DEF CON 27 Voting Village Report [3] (pp. 12–14) |
| USB Interface Vulnerabilities | 8.4 (High) | Low | Demonstrated in lab | DEF CON 27: “vulnerabilities could be exploited...utilizing exposed external interfaces” [3] |
| Weak/Missing Encryption | 7.5 (High) | Low | Verified | Ref. [6] identifies lack of AES-256 implementation |
| Outdated OS (Windows 7) | 8.6 (High) | Med | Confirmed | Texas Secretary of State Examination [44] |
| Single Storage Point of Failure | 7.6 (High) | N/A | Design documented | ES&S documentation confirms single 1TB HDD [45,46] |
| SQL Injection Risk | 8.8 ** (High) | Low | Theoretical risk only | General vulnerability class; no specific CVE for this system |
| Network Exposure | Insufficient documentation for accurate assessment | |||
| Vulnerability Type | CVSS Score | AC | Documented Status | Source/Evidence |
|---|---|---|---|---|
| USB Attack Vectors | 7.9 ** (High) | Med | Demonstrated in lab | DEF CON 27: USB-based attacks confirmed [3] |
| Android 8.1 Vulnerabilities | Variable (7.0–9.3) | Low | Confirmed | CISA Advisory ICSA-22-154-01: “improper input validation” [47] |
| Hard-coded Credentials | 9.1 (Critical) | Low | Confirmed | CISA: “use of hard-coded credentials” [47] |
| Improper Authentication | 8.2 (High) | Med | Confirmed | CISA: “improper authentication in administrative functions” [47] |
| No Data Redundancy | 7.6 (High) | N/A | Design documented | Hurley inspection confirms single point of failure [48] |
| QR Code Processing | Reported at DEF CON but technical details not published Cannot assign accurate CVSS without vulnerability specifics | |||
| Metric | ES&S ExpressVote | Dominion ImageCast X |
|---|---|---|
| Documented CVEs | Limited public data | 9 (CISA 2022) |
| Critical Vulnerabilities (CVSS ≥ 9.0) | 1 confirmed | 2 confirmed |
| High Vulnerabilities (CVSS 7.0–8.9) | 4 confirmed | 3 confirmed |
| Published Security Assessments | 2 state reports | 3 (CISA + 2 state) |
| Average Time Since Last Update | >4 years | Variable by jurisdiction |
| Patch Availability | Vendor-dependent | Partial (5.5.3.6075) |
| Threat Actor Type | Skill Level (1–10) | Time to Compromise | Success Probability * |
|---|---|---|---|
| Script Kiddie | 2–3 | Not feasible | <5% |
| Hacktivist | 4–5 | 48–72 h | 15–25% |
| Organized Crime | 6–7 | 24–48 h | 40–60% |
| Nation-State | 8–10 | <24 h | 70–90% |
| Impact Domain | Weight | 1 (Low) | 3 (Medium) | 5 (Critical) |
|---|---|---|---|---|
| Electoral Integrity | 35% | Minor delays | Localized disruption | Vote manipulation |
| Public Trust | 25% | Limited concern | Regional doubt | Systemic distrust |
| Operational | 20% | <4 h recovery | 4–24 h recovery | >24 h recovery |
| Financial | 10% | <USD 1M | USD 1M–USD 10M | >USD 10M |
| Legal/Regulatory | 10% | Minor violations | State investigations | Federal intervention |
| Vulnerability | L | I | E | Risk Score | Level | Priority Action |
|---|---|---|---|---|---|---|
| Default Admin Passwords | 4.8 | 4.5 | 0.7 | 15.1 | Critical | Immediate remediation |
| USB Interface Attacks | 4.2 | 4.8 | 0.9 | 18.1 | Critical | Deploy whitelisting |
| Outdated OS (Win 7) | 4.5 | 3.8 | 0.6 | 10.3 | High | 30-day patch cycle |
| Network Segmentation Issues | 3.2 | 4.2 | 0.8 | 10.8 | High | Architecture review |
| Unencrypted Data | 3.8 | 3.5 | 0.5 | 6.7 | Medium | Encryption deployment |
| Insufficient Logging | 2.5 | 3.0 | 0.9 | 6.8 | Medium | SIEM implementation |
| Physical Security Gaps | 2.8 | 2.5 | 0.4 | 2.8 | Low | Procedural updates |
| Impact Domain | Weight | 1 (Low) | 3 (Medium) | 5 (Critical) |
|---|---|---|---|---|
| Electoral Integrity | 35% | <100 ballots | County-wide | Swing state manipulation |
| Voter Confidence | 25% | Local media | State-wide doubt | National crisis |
| Operational | 20% | <2 h delay | 2–8 h outage | Election canceled |
| Constitutional | 10% | Admin remedy | Court challenges | Constitutional crisis |
| Chain of Custody | 10% | Audit gaps | Tracking lost | Evidence tamper |
| Vulnerability | L | I | E | T | Risk | Level | Priority |
|---|---|---|---|---|---|---|---|
| EMS Default Pwd | 4.8 | 4.5 | 0.7 | 2.5 | 37.8 | Critical | Pre-election audit |
| USB/BadUSB | 4.2 | 4.8 | 0.9 | 3.0 | 54.4 | Critical | Device whitelist |
| Voter DB SQLi | 4.5 | 4.2 | 0.8 | 2.0 | 30.2 | High | 60-day remedy |
| E-Pollbook | 3.8 | 3.9 | 0.7 | 3.0 | 31.1 | High | Offline backup |
| ENR DDoS | 3.2 | 3.5 | 0.9 | 2.5 | 25.2 | Medium | CDN deploy |
| Tabulator FW | 2.8 | 4.8 | 0.3 | 3.0 | 12.1 | Medium | Hash verify |
| Physical | 2.5 | 3.0 | 0.2 | 2.0 | 3.0 | Low | Seal protocol |
| Current Practice | Security Gap | Proposed Standard | Risk Reduction |
|---|---|---|---|
| Unsigned updates | Critical | Multi-signature mandatory | 85% |
| USB distribution | High | Authenticated devices only | 70% |
| No rollback protection | High | Hardware-enforced versioning | 60% |
| Weak verification | Medium | TPM attestation | 75% |
| No audit trail | Medium | Immutable logging | 65% |
| Supply Chain Stage | Attack Vectors | Detection Difficulty | Persistence |
|---|---|---|---|
| Component Manufacturing | 12 | Very High | Permanent |
| Firmware Development | 8 | High | Semi-permanent |
| Software Integration | 15 | Medium | Updatable |
| Distribution and Logistics | 6 | Low | Temporary |
| Installation and Configuration | 9 | Medium | Variable |
| Maintenance and Updates | 11 | High | Semi-permanent |
| Firmware Category | Attack Vector | Exploitation Method |
|---|---|---|
| UEFI/BIOS Firmware | Bypass pre-boot authentication | Manipulate credentials during boot sequence |
| Compromise secure boot chain | Substitute or bypass certificates | |
| Manipulate UEFI variables | Install persistent malware installation | |
| Deploy SMM rootkits | Hijack system management mode | |
| Embedded Controller | Subvert keyboard controller | Keystroke injection/logging |
| Manipulate power management | Falsify system state | |
| Falsify hardware sensor | Bypass environmental monitoring | |
| Peripheral Firmware | Reprogram USB controller | Implement BadUSB attack |
| Compromise network interface firmware | Modify/intercept traffic | |
| Exploit printer firmware | Manipulate/exfiltrate documents |
| Requirement | Description | Timeline |
|---|---|---|
| Vendor Security Clearances | All personnel with access to election system code/hardware must obtain clearance | 12 months |
| SBOM/HBOM Disclosure | Complete disclosure of all components and dependencies in machine-readable format | 6 months |
| Manufacturing Audit | Annual third-party audit of all manufacturing facilities | 3 months |
| Cryptographic Signing | All firmware and software updates must be signed by multiple authorized parties | Immediate |
| Supply Chain Risk Assessment | Quarterly assessment using the NIST Cybersecurity Framework | 90 days |
| Incident Disclosure | 72 h disclosure requirement for supply chain security incidents | Immediate |
| Component | Functionality | Open Implementation | Verification |
|---|---|---|---|
| Secure Microkernel | Minimal trusted computing base | seL4 (formally verified) | Mathematical proof |
| Voting Application | Ballot presentation and recording | Rust with formal specs | Model checking |
| Cryptographic Core | E2E verifiability primitives | LibSodium/OpenSSL | Theorem proving |
| Hardware Layer | Device driver isolation | RISC-V open ISA | Formal verification |
| Audit Subsystem | Immutable logging | Merkle tree anchoring | Cryptographic proofs |
| Tier | Verification Method | Coverage | Evidence |
|---|---|---|---|
| 1. Mathematical | Formal proofs in Coq/Isabelle for core properties | 100% | Machine-checked proofs |
| 2. Static Analysis | Automated scanning with 5+ tools | >95% | Zero critical findings |
| 3. Runtime | Continuous invariant monitoring | 100% | Cryptographic logs |
| Requirement | Standard | Verification Method |
|---|---|---|
| Code Availability | 100% source published | Git commit history |
| Build Reproducibility | Bit-identical binaries | SHA-256 matching |
| Dependency Transparency | Complete SBOM | CycloneDX format |
| Vulnerability Disclosure | 90-day responsible disclosure | CVE publication |
| Security Audit Frequency | Quarterly | Published reports |
| Component | Requirement | Validation |
|---|---|---|
| CPU | Hardware-based memory encryption (TME/SME) | FIPS 140-3 Level 3 |
| Secure Element | Dedicated HSM or TPM 2.0 | Common Criteria EAL4+ |
| Boot Process | UEFI Secure Boot with custom PKI | Measured boot attestation |
| Storage | Full-disk encryption with authenticated encryption | AES-256-GCM |
| Network | Hardware-isolated network interfaces | Air-gap verification |
| Cost Category | Open System | Proprietary | Savings |
|---|---|---|---|
| Initial Development | USD 75M | USD 150M | 50% |
| Annual Maintenance | USD 5M | USD 20M | 75% |
| Security Audits | USD 2M | USD 8M | 75% |
| Vendor Lock-in Risk | USD 0 | USD 50M (10 yrs) | 100% |
| 10-Year TCO | USD 147M | USD 430M | 66% |
| Capability Domain | Iran (KITTEN) | China (PANDA) | Russia (BEAR) | North Korea (CHOLLIMA) |
|---|---|---|---|---|
| Technical Sophistication | ||||
| Overall Rating | 7/10 | 9/10 | 10/10 | 7/10 |
| Zero-Day Capability | Limited | Extensive | Extensive | Moderate |
| Custom Malware Families | 15–20 | 50+ | 40+ | 25+ |
| Living-Off-The-Land Techniques | Moderate | High | Very High | Moderate |
| Operational Scale | ||||
| Active Groups | 12 | 20+ | 8+ | 6 |
| Personnel Estimate | Hundreds | Thousands | Thousands | 1700+ |
| Persistence (Days) | 180–365 | 365+ | 365+ | 180-365 |
| Breakout Time | Hours | Minutes | 2–7 min | Hours |
| Primary Targets | ||||
| Critical Infrastructure | High | Very High | Very High | Low |
| Government/Defense | High | Very High | Very High | High |
| Financial Sector | Moderate | High | Moderate | Very High |
| Election Systems | High | Moderate | Very High | Low |
| Telecommunications | Moderate | Very High | High | Low |
| Key Groups | ||||
| Primary Actor | CHARMING | WICKED | FANCY BEAR | LABYRINTH |
| KITTEN | PANDA | (APT28) | CHOLLIMA | |
| Secondary Actor | HELIX | STONE | COZY BEAR | FAMOUS |
| KITTEN | PANDA | (APT29) | CHOLLIMA | |
| Destructive Actor | REFINED | VANGUARD | VOODOO | STARDUST |
| KITTEN | PANDA | BEAR | CHOLLIMA | |
| Notable Operations | ||||
| High-Profile Attacks | Shamoon | SolarWinds | DNC 2016 | Sony/WannaCry |
| Financial Impact | Moderate | High | Very High | USD 81M+ |
| Attribution Confidence | High | High | Very High | High |
| Attack Vector | Specific Technique | Target and Impact |
|---|---|---|
| Voter Intimidation | Spoofed emails claiming to be from militia groups | Democratic voters in FL, AK; thousands of emails sent |
| Disinformation | False videos about ballot fraud | Social media distribution; viral spread attempted |
| Official Targeting | “Enemies of the people” hit lists | FBI Director, CISA officials, state election administrators |
| Infrastructure Reconnaissance | Vulnerability scanning | County election systems; extent classified |
| Phase | Technique | Observed Timeline |
|---|---|---|
| Initial Access | Exploitation of network device vulnerabilities, valid accounts | 30–60 days reconnaissance |
| Persistence | Living off the Land using legitimate Windows tools | 1–2 days implementation |
| Lateral Movement | Trust relationship exploitation between systems | 7–14 days expansion |
| Collection | Configuration harvesting, credential theft | Continuous |
| Pre-positioning | Strategic access maintenance | Months to years |
| Target/Technique | 2016 | 2020 | 2024 Assessment |
|---|---|---|---|
| Direct Infrastructure Attacks | High | Low | Medium |
| Information Operations | High | Very High | Very High |
| Supply Chain Targeting | Low | Medium | High |
| Criminal Proxy Use | None | Low | High |
| AI-Enhanced Operations | None | Experimental | Operational |
| Election Component | Iran | China | Russia | Primary Risk |
|---|---|---|---|---|
| Voter Registration | Medium | High | High | Data theft/manipulation |
| E-Pollbooks | Low | High | Medium | Service disruption |
| Vote Capture Systems | Low | Medium | Low | Trust undermining |
| Central Tabulation | Low | High | Medium | Result manipulation |
| Election Management Systems | Medium | Very High | High | System-wide compromise |
| Election Night Reporting | High | Medium | Very High | Perception manipulation |
| System | Web | Network | Breach Sim | Deploy |
|---|---|---|---|---|
| T-pot | Med | High | Low | Med |
| Shadow Daemon | High | Low | Low | Low |
| Infection Monkey | Low | High | High | High |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Green, J.M.; Sarrafzadeh, A.; Anwar, M. Critique of Networked Election Systems: A Comprehensive Analysis of Vulnerabilities and Security Measures. Information 2026, 17, 10. https://doi.org/10.3390/info17010010
Green JM, Sarrafzadeh A, Anwar M. Critique of Networked Election Systems: A Comprehensive Analysis of Vulnerabilities and Security Measures. Information. 2026; 17(1):10. https://doi.org/10.3390/info17010010
Chicago/Turabian StyleGreen, Jason M., Abdolhossein Sarrafzadeh, and Mohd Anwar. 2026. "Critique of Networked Election Systems: A Comprehensive Analysis of Vulnerabilities and Security Measures" Information 17, no. 1: 10. https://doi.org/10.3390/info17010010
APA StyleGreen, J. M., Sarrafzadeh, A., & Anwar, M. (2026). Critique of Networked Election Systems: A Comprehensive Analysis of Vulnerabilities and Security Measures. Information, 17(1), 10. https://doi.org/10.3390/info17010010
