Symmetry and Asymmetry in Artificial Intelligence for Cybersecurity
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 20
Special Issue Editor
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is rapidly reshaping the cybersecurity landscape, bringing both unprecedented capabilities and emerging challenges. This Special Issue on “Symmetry and Asymmetry in Artificial Intelligence for Cybersecurity” focuses on the dualistic nature of AI in cyberspace—where symmetry refers to balanced and structured uses of AI in defense mechanisms, while asymmetry highlights the unpredictable and disproportionate ways in which AI can be exploited by adversaries. The issue seeks to explore how AI technologies contribute to threat detection, response automation, intrusion prevention, and anomaly detection, while also examining the vulnerabilities introduced through adversarial attacks, data poisoning, model inversion, and other malicious AI tactics. We welcome interdisciplinary contributions that span theoretical foundations, practical implementations, simulations, and case studies, particularly those that integrate AI ethics, trustworthiness, transparency, and regulatory considerations into cybersecurity frameworks. This Special Issue aims to bridge the academic and industrial gap, advancing research toward resilient, adaptive, and intelligent cybersecurity infrastructures in an increasingly AI-driven world.
Dr. Shafiq Ul Rehman
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence in cybersecurity
- symmetry and asymmetry in AI
- adversarial machine learning
- explainable AI (XAI)
- cyber threat detection
- AI-powered security solutions
- deep learning for cyber defense
- AI ethics in cybersecurity
- intelligent risk assessment
- autonomous security systems
- federated learning for cybersecurity
- human–AI collaboration in cyber defense
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