AI驱动的自适应攻击正削弱公钥密码信任，暴露实现层面漏洞

AI-Driven Adaptive Adversaries and the Erosion of Cryptographic Trust in Public Key Systems

• 用AI优化自适应攻击，针对系统实现而非数学算法
• 实验证明现有安全模型无法抵御此类攻击
• 适合关注密码学实战安全的研究者和从业者

本文研究人工智能驱动的自适应攻击对公钥密码（PKC）安全性的侵蚀。当前密码学安全模型以算法为核心，但现实攻击往往利用实现层面的可观测性，而非破解密码原语。本文揭示了这种理论与实践之间的差距，表明传统安全假设在面对智能优化攻击时已不再可靠，强调必须重新评估公钥系统的实际安全性。

原文摘要 · Abstract (English)

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.

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