AI and Cybersecurity: Emerging Trends and Key Challenges
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 61
Special Issue Editors
Interests: computer networks; network security; cybersecurity; data analytics
Special Issues, Collections and Topics in MDPI journals
Interests: data management; data science; machine learning; cybersecurity and privacy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue, entitled "AI and Cybersecurity: Emerging Trends and Key Challenges", aims to explore the dynamic intersection of artificial intelligence and cybersecurity, highlighting both their transformative potential and the pressing risks associated with their convergence. As AI technologies become increasingly embedded in digital infrastructures, they offer powerful tools for threat detection, risk assessment, and automated response. However, they also introduce novel vulnerabilities and ethical concerns that demand rigorous scrutiny. This Special Issue invites the submission of original research, reviews, and case studies that address key challenges such as adversarial AI, secure machine learning, privacy-preserving algorithms, and the role that AI plays in cyber defense and resilience. Contributions are encouraged from academia, industry, and the government to foster a multidisciplinary dialogue on securing AI systems and leveraging AI for robust cybersecurity. By showcasing cutting-edge developments and critical perspectives, this Special Issue seeks to advance our understanding and guide future innovation at the nexus of AI and cybersecurity.
Suggested topics of interest for this Special Issue include the following:
- AI-driven threat detection and response systems;
- Adversarial machine learning and model robustness;
- Privacy-preserving AI and federated learning;
- Secure AI model deployment and lifecycle management;
- AI in malware analysis and intrusion detection;
- Ethical and regulatory challenges in AI-based cybersecurity;
- Explainability and trust in AI for security applications;
- Cybersecurity for AI systems and data pipelines;
- Human–AI collaboration in cyber defense;
- Emerging standards and frameworks for AI security.
We look forward to receiving your contributions.
Prof. Dr. Savitri Bevinakoppa
Prof. Dr. Gang Li
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- cybersecurity
- adversarial machine learning
- threat detection
- privacy-preserving AI
- secure AI systems
- intrusion detection
- ethical AI
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