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English(EN) DynaMark: A Reinforcement Learning Framework for Dynamic Watermarking in Industrial Machine Tool Controllers

DynaMark框架使用RL为工业MTCs中的动态水印提供支持

研究人员开发了DynaMark,一个新颖的强化学习框架,旨在增强工业4.0环境中工业机床控制器(MTCs)的安全性。该系统通过实施动态水印来解决重放攻击的漏洞,该水印实时调整其统计特性以适应MTCs复杂且通常专有的行为。DynaMark将水印建模为马尔可夫决策过程,学习一种自适应策略,该策略优化控制性能、能耗和检测置信度,在能效和检测速度方面优于现有方法。 AI

影响 通过实现针对复杂攻击的自适应水印,增强了工业控制系统的安全性。

排序理由 详细介绍工业机床控制器新框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.AI 阅读 →

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DynaMark框架使用RL为工业MTCs中的动态水印提供支持

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详细介绍工业机床控制器新框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Navid Aftabi, Abhishek Hanchate, Satish Bukkapatnam, Dan Li ·

    DynaMark:工业机床控制器中动态水印的强化学习框架

    arXiv:2508.21797v2 Announce Type: replace-cross Abstract: Industry 4.0's highly networked Machine Tool Controllers (MTCs) are prime targets for replay attacks that use outdated sensor data to manipulate actuators. Dynamic watermarking can reveal such tampering, but current scheme…