AI for Cybersecurity and Emerging Technologies for Secure Systems
A Special Issue of Electronics (ISSN 2079-9292) belonging to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 December 2026 | Viewed by 2929
Editors
Interests: smart contracts; blockchain; Dapp; consensus protocols; network security; computer security; artificial intelligence (AI); cyber–AI applications
Special Issues, Collections and Topics in MDPI journals
Interests: blockchain and smart contracts; cyber security; artificial intelligence and security; legal contracts and natural language processing; metaverse; fuzzy logic; data cooperatives
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cybersecurity continues to evolve as digital systems expand across distributed, data-intensive, and decentralized infrastructures. The growing dependence on cloud computing, IoT, and blockchain-based applications calls for security frameworks that are not only intelligent, explainable, and verifiable but also grounded in rigorous theoretical foundations. This Special Issue focuses on both theoretical advancements and applied innovations in artificial intelligence and emerging security technologies that enhance the protection, resilience, and transparency of modern computing environments. The issue recognizes that traditional, rule-based defenses must give way to autonomous, adaptive, and data-driven architectures capable of addressing complex and persistent cyber threats.
This Special Issue aims to feature AI-assisted, blockchain-enabled, and mathematically verifiable approaches that improve system reliability, trust, and data assurance. Theoretical contributions may address formal security modeling, cryptographic proofs, explainable learning models, and algorithmic verification, while applied studies may explore machine learning–based intrusion detection, blockchain and smart contract security, privacy-preserving computation, and decentralized trust management. The collection also welcomes emerging research on the responsible use of generative AI for security applications, including its role in automated threat simulation, vulnerability analysis, and synthetic data generation for training resilient defense models. Submissions demonstrating measurable improvements in risk prediction, access control, incident response, or secure data exchange are highly encouraged.
Dr. Syed Badruddoja
Dr. Kritagya Upadhyay
Guest Editors
Manuscript Submission Information
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Keywords
- AI for cybersecurity
- blockchain security
- smart contract auditing
- cyber infrastructure protection
- machine learning for threat detection
- privacy-preserving cryptography
- trust and identity management
- secure data exchange
- intrusion detection and prevention
- zero-trust architecture
- formal verification for security
- risk prediction and analysis
- cloud and IoT security
- decentralized trust frameworks
- secure distributed systems
- explainable intrusion and anomaly detection
- interpretable machine learning for threat analysis
- large language models (LLMs) for cybersecurity
- AI-assisted threat intelligence
- human-centered and trustworthy AI systems
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