Cryptography and Cybersecurity–Addressing Modern Threats
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 August 2026 | Viewed by 10
Special Issue Editors
Interests: cryptography; personal data protection and privacy; network security
Special Issues, Collections and Topics in MDPI journals
Interests: security (IoT security; intrusion detection; dynamic risk analysis; game-theoretic security; trust management; blockchain/distributed ledgers); cryptography (block/stream cipher design and analysis; applied cryptography; post-quantum cryptography; zero knowledge protocols); coding theory (with applications in PHY security and cryptography)
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning with applications in cyber security (digital forensics; intrusion prevention detection and response; social engineering; OSINT; insider threats; malware and distributed denial of service attacks; AI application in cybersecurity)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In a time defined by rapidly transforming digital ecosystems, the rise of AI-driven technologies, and increasingly sophisticated cyber adversaries, the demand for resilient cryptographic solutions and holistic cybersecurity and privacy strategies is more critical than ever. This Special Issue seeks to gather innovative research that advances the theory, design, and practical deployment of security, cryptographic, privacy enhancing and AI/ML-driven technologies capable of countering both current and emerging threats.
We welcome high-quality contributions spanning foundational theory, applied methodologies, system-level implementations, and interdisciplinary approaches. Topics of interest include, but are not limited to, the following:
- Cyber-Security
- Internet of Things (IoT) security;
- Intrusion detection and prevention systems;
- Dynamic risk analysis and threat modeling;
- Game-theoretic approaches to security;
- Trust and reputation management;
- Blockchain and distributed ledger technologies;
- Physical-layer (PHY) security.
- Cryptography
- Applied cryptography in real-world systems;
- Post-quantum cryptography (PQC);
- Symmetric cipher design, analysis, and implementation;
- Zero-knowledge proofs and privacy-preserving protocols;
- Privacy enhancing cryptography (secure multiparty computations, homomorphic encryption, functional encryption).
- Machine Learning for Cybersecurity
- Digital forensics and automated evidence analysis;
- Intrusion prevention, detection, and response;
- Social engineering detection and mitigation;
- Open-source intelligence (OSINT) and threat hunting;
- Insider threat detection;
- Malware analysis and DDoS defense;
- AI-driven approaches and adversarial machine learning for cybersecurity.
- Data Protection and Privacy
- Privacy-enhancing technologies;
- Data Protection by Design techniques;
- Secure data sharing, storage, and governance;
- Mapping regulatory requirements into design principles;
- Methodologies for data protection/fundamental rights impact assessment.
For this Special Issue, we encourage submissions from academia, industry, research institutions, as well as from public cybersecurity and data protection authorities, fostering a comprehensive discussion on how cryptographic innovation, intelligent systems, and modern security practices can jointly address today’s complex cyber threats. Survey and opinion papers are also welcome. We look forward to receiving your valuable contributions.
Dr. Konstantinos Limniotis
Prof. Dr. Nicholas Kolokotronis
Prof. Dr. Stavros Shiaeles
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- cyber-security
- cryptography
- machine learning for cybersecurity
- data protection and privacy
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