English(EN) Learnt Attacks on Quantum Key Distribution under Channel Noise and Device Drift

学习型攻击针对量子密钥分发系统

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-03 04:00

研究人员开发了针对量子密钥分发（QKD）系统的新型学习攻击策略，特别解决了信道噪声和器件漂移带来的挑战。通过将窃听视为一个受约束的马尔可夫决策过程，这些自适应攻击可以被学习和优化。该研究量化了能够根据不断变化的噪声条件和器件参数调整策略的攻击者所获得的优势，证明了相比固定攻击方法有显著改进。 AI

影响学习型攻击策略的发展可能有助于设计更鲁棒的量子通信系统。

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arXiv cs.LG TIER_1 English(EN) · Marcel Mordarski, Benjamin Gras, Abdelrahman Shehata, Daniel Budina, Roberto Bondesan · 2026-10-03 04:00

信道噪声和器件漂移下量子密钥分发中的学习攻击

arXiv:2610.01792v1 Announce Type: cross Abstract: Quantum key distribution (QKD) links are provisioned from security analyses of stationary channels, whereas the devices that determine the channel drift between recalibrations. Whether an eavesdropper who cannot alter the channel'…