AI-Driven Adaptive Adversaries and the Erosion of Cryptographic Trust in Public Key Systems
It identifies a vulnerability in public key systems for security practitioners, but the analysis is conceptual without concrete results or numbers.
The paper examines how AI-driven adaptive adversaries can erode the security of public key cryptography by exploiting implementation-level observability rather than breaking cryptographic primitives, highlighting a mismatch between theoretical security models and practical attack realities.
This paper examines the erosion of Public Key Cryptography (PKC) security under adaptive adversarial optimisation driven by artificial intelligence. The problem addressed is the growing mismatch between algorithm-centric cryptographic security models and operational attack realities, where adversaries exploit implementation-level observability rather than breaking cryptographic primitives.