Cybersecurity Symmetry: Encryption, AI, and Attack Patterns
Topic Information
Dear Colleagues,
Cybersecurity currently exists in a dynamic state of symmetry, where both attackers and defenders leverage similar technologies—particularly encryption and artificial intelligence (AI)—in a constant strategic tug-of-war. Encryption remains a foundational tool for securing data, but emerging threats like quantum computing and AI-generated attack patterns challenge its integrity. AI plays a dual role—enhancing defense through automated threat detection and prediction, while also enabling sophisticated attacks such as data poisoning and zero-day exploit discovery. The concept of symmetry is further explored in mirrored tactics used by ethical hackers and malicious actors, raising ethical questions about autonomous defensive systems. Although there is a theoretical balance, in practice, cybersecurity often remains asymmetric, with attackers holding the advantage of surprise and agility. Future solutions may rely on privacy-preserving technologies like homomorphic encryption and more resilient AI models to restore equilibrium in the digital battlefield.
Prof. Dr. Mobyen Uddin Ahmed
Dr. Azidine Guezzaz
Topic Editors
Keywords
- artificial intelligence (AI)
- encryption
- attack patterns
- defensive AI
- data poisoning
- zero-day exploits
- neural cryptography
- threat detection
- adversarial machine learning
- cyber threat intelligence
- cyber offense–defense symmetry
- machine learning security
- AI-driven attacks