Network slicing is a core enabler of multi-tenant 5th Generation (5G) architectures, allowing heterogeneous services to coexist over shared infrastructure. However, ensuring effective isolation between slices remains a critical security challenge, as...
Organizations are facing a wide range of cyber threats. While technological advancements have resulted in sophisticated cybersecurity solutions, the effectiveness of these solutions is hindered when users do not properly engage with security measures...
The rapid expansion of electric vehicles (EVs) has added complexity to the resilience and security challenges to the EV charging systems, especially owing to the exposure to the cyber–physical threats and the reliance on centrally coordinated s...
The exponential growth of network traffic and the increasing sophistication of cyberattacks have underscored the need for intelligent and real-time Intrusion Detection Systems (IDS). Traditional flow-based IDS models typically analyze each network fl...
The rapid growth of digital communication has heightened the need for the secure transfer of sensitive image data. This is due to the increasing threats posed by cyberattacks and unauthorized access. Traditional encryption methods, while effective fo...
Mandatory SIM card registration, while essential to regulatory oversight and national security, continues to raise significant privacy concerns due to the centralized collection and storage of sensitive user data by Mobile Network Operators (MNOs). T...
Cybersecurity has become a critical challenge to policy as cyber threats continue to increase in frequency, sophistication, and societal impact, exposing the growing vulnerability of the critical infrastructure supporting vital societal functions. Gl...
Modern cyber threats demand coordinated defensive strategies that extend beyond centralized security mechanisms. However, existing multi-agent platforms exhibit critical limitations in explicit communication and real-time coordination for cyberdefens...
Generative AI (GenAI) systems are increasingly deployed across high-impact sectors, introducing security risks that fundamentally differ from those of traditional software. Their probabilistic behavior, emergent failure modes, and expanded attack sur...
The emerging scope of the Industrial Internet of Services (IIoS) requires a robust intrusion detection system to detect malicious attacks. The increasing frequency of sophisticated and high-impact cyber attacks has resulted in financial losses and ca...
Cybersecurity teams rely on signature-based scanners such as Loki, a command-line tool for scanning malware, to identify Indicators of Compromise (IOCs), malicious artifacts, and YARA-rule matches. However, the raw Loki log output delivered as CSV or...
Metaverse presents significant opportunities for educational advancement by facilitating immersive, personalized, and interactive learning experiences through technologies such as virtual reality (VR), augmented reality (AR), extended reality (XR), a...
Machine learning inference is increasingly deployed on shared and cloud infrastructures, where both user inputs and model parameters are highly sensitive. Confidential computing promises to protect these assets using Trusted Execution Environments (T...
Wireless sensor networks comprise many resource-constrained nodes that must protect both local readings and routing metadata. The sensors collect data from the environment or from the individual to whom they are attached and transmit it to the neares...
This work presents a hybrid chaotic–cryptographic image encryption method that integrates a physical two-dimensional delta-kicked oscillator with a PBKDF2-HMAC-SHA256 key derivation function (KDF). The user-provided key material—a 12-char...
Generative Artificial Intelligence (GenAI) systems have introduced new classes of security incidents that traditional response frameworks were not designed to manage, ranging from model manipulation and data exfiltration to misinformation cascades an...
In the original publication [...]
Cross-site scripting (XSS) attacks are among the threats facing web security, resulting from the diversity and complexity of HTML formats. Research has shown that some text processing-based methods are limited in their ability to detect this type of...
Data exfiltration poses a major cybersecurity challenge because it involves the unauthorized transfer of sensitive information. Intrusion Detection Systems (IDSs) are vital security controls in identifying such attacks; however, their effectiveness i...
This paper identifies theoretical vulnerabilities in quantum integrity verification by demonstrating that Bell inequality (BI) violations, central to the detection of quantum entanglement, can align with predictions from hidden variable theories (HVT...
Cybersecurity education requires practical activities such as malware analysis, phishing detection, and Capture the Flag (CTF) challenges. These exercises enable students to actively apply theoretical concepts in realistic scenarios, fostering experi...
Anomaly-based network intrusion detection systems (NIDSs) complement signature-based detection methods to identify unknown (zero-day) attacks. The integration of machine and deep learning enhanced the efficiency of such NIDSs. However, since anomaly-...
While face recognition systems are increasingly deployed in critical domains, they remain vulnerable to presentation attacks and exhibit significant demographic bias, particularly affecting African populations. This paper presents a fairness-aware Pr...
Machine learning (ML) techniques have significantly enhanced decision support systems to render them more accurate, efficient, and faster. ML classifiers in securing networks, on the other hand, face a disproportionate risk from the sophisticated adv...
Industrial Control Systems (ICS) are fundamental to the operation, monitoring, and automation of critical infrastructure in sectors such as energy, water utilities, manufacturing, transportation, and oil and gas. According to the Purdue Model, ICS en...
One of the major challenges for effective intrusion detection systems (IDSs) is continuously and efficiently incorporating changes on cyber-attack tactics, techniques, and procedures in the Internet of Things (IoT). Semi-automated cross-organizationa...
Free live sports streaming (FLS) services attract millions of users who, driven by the excitement of live events, often engage with these high-risk platforms. Although these platforms are widely perceived as risky, the specific threats they pose have...
This contribution outlines a completely new, fully local approach for secure web-based device control on the basis of browser inter-window messaging. Modern smart home IoT (Internet of Things) devices are commonly controlled with proprietary mobile a...
Explainability is increasingly expected to support not only interpretation, but also accountability, human oversight, and auditability in high-risk Artificial Intelligence (AI) systems. However, in many deployments, explanations are generated as isol...
Acoustic Side-Channel Attacks (ASCAs) exploit the sound produced by keyboards and other devices to infer sensitive information without breaching software or network defenses. Recent advances in deep learning, large language models, and signal process...
The Cyber Kill Chain (CKC) is a prevalent concept in cyber defense; nevertheless, its emphasis on post-reconnaissance phases limits the capacity to foresee attacker activities outside the organizational boundary. This study introduces and empirically...
Statistical confidentiality focuses on protecting data to preserve its analytical value while preventing identity exposure, ensuring privacy and security in any system handling sensitive information. Homomorphic encryption allows computations on encr...
Online hate speech poses a growing socio-technological threat that undermines democratic resilience and obstructs progress toward Sustainable Development Goal 16 (SDG 16). This study examines the regulatory and behavioral dimensions of this phenomeno...
The increasing volume of digital medical data offers substantial research opportunities, though its complete utilization is hindered by ongoing privacy and security obstacles. This proof-of-concept study explores and confirms the viability of using S...
This study proposes the Huffman Tree and Binary Conversion (HTB) which is a preprocessing algorithm to transform the Huffman tree into binary representation before the encryption process. In fact, HTB can improve the structural readiness of plaintext...
High cybersecurity risks and attacks cause information theft, unauthorized access to data and information, reputational damage, and financial loss in small and medium enterprises (SMEs). This creates a need to adopt information security systems of SM...
The rapid expansion of Internet of Things (IoT) technologies has introduced significant challenges in understanding the complexity and structure of network traffic data, which is essential for developing effective cybersecurity solutions. This resear...
Smart phones have become an integral part of our lives in modern society, as we carry and use them throughout a day. However, this “body part” may maliciously collect and leak our personal information without our knowledge. When we instal...
Large language models (LLMs) have shown remarkable potential for automatic code generation. Yet, these models share a weakness with their human counterparts: inadvertently generating code with security vulnerabilities that could allow unauthorized at...
As technology advances, developers continually create innovative solutions to enhance smartphone security. However, the rapid spread of Android malware poses significant threats to devices and sensitive data. The Android Operating System (OS)’s...
The traditional process for learning patch-based adversarial attacks, conducted in the digital domain and later applied in the physical domain (e.g., via printed stickers), may suffer reduced performance due to adversarial patches’ limited tran...
Privacy enhancement technologies are significant in the development of digital payment systems. At present, multiple innovative digital payment solutions have been introduced and may be implemented globally soon. As cyber threats continue to increase...
In an increasingly interconnected world, cybersecurity professionals play a pivotal role in safeguarding organizations from cyber threats. To secure their cyberspace, organizations are forced to adopt a cybersecurity framework such as the NIST Nation...
Small and Medium-sized Enterprises (SMEs) face disproportionately high risks from Advanced Persistent Threats (APTs), which often evade traditional cybersecurity measures. Existing frameworks catalogue adversary tactics and defensive solutions but pr...
The widespread dissemination of misleading news presents serious challenges to public discourse, democratic institutions, and societal trust. Misleading-news classification (MNC) has been extensively studied through deep neural models that rely mainl...
Privacy harms have expanded alongside rapid technological change, challenging the adequacy of existing regulatory frameworks. This systematic review (1990–2025) systematically maps documented privacy harms to specific legal mechanisms and obser...
Phishing attacks, particularly Smishing (SMS phishing), have become a major cybersecurity threat, with attackers using social engineering tactics to take advantage of human vulnerabilities. Traditional detection models often struggle to keep up with...
This review examines AI governance centered on Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (the EU Artificial Intelligence Act), alongside comparable...
This article analyzes how artificial intelligence (AI) is influencing the evolution of cybercrime in Ecuador. The use of AI tools to create new threats, such as intelligent malware, automated phishing, and financial fraud, is on the rise. The main pr...
This study examines the adoption and implementation of the Zero Trust (ZT) cybersecurity paradigm using the Technology–Organization–Environment (TOE) framework. While ZT is gaining traction as a security model, many organizations struggle...
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