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English(EN) AI-Driven Adaptive Adversaries and the Erosion of Cryptographic Trust in Public Key Systems

人工智能对手侵蚀公钥密码系统的信任

一篇新论文探讨了人工智能驱动的自适应对手如何对公钥密码系统的安全性构成重大威胁。研究强调了理论密码安全模型与现实世界攻击场景之间日益扩大的差距,在这些场景中,对手利用的是实现层面的漏洞,而不是直接破解密码原语。这一转变表明,当前的安保假设可能无法充分抵御复杂的、由人工智能驱动的威胁。 AI

影响 人工智能驱动的自适应对手可能会破坏数字通信和交易的安全基础,从而需要新的密码方法。

排序理由 该集群包含一篇详细介绍新研究发现的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Petar Radanliev ·

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

    arXiv:2605.24542v1 Announce Type: cross Abstract: 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 cryptogra…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Petar Radanliev ·

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

    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 realit…