AI 中文总结
本文提出交互多模型滤波的新变体，将时延视为系统备选模式，经理论分析确定模型参数，在巡航控制应用中实现了几秒内低虚警率的反馈路径时延注入攻击检测。
AI 中文摘要
时延对反馈系统具有有害影响，在网络信息物理系统场景中，恶意攻击者可注入时延，早期检测此类攻击是重要挑战。本文提出交互多模型滤波的一种新变体，用于在开环环境中隐藏时检测反馈控制系统中的时延注入攻击。该检测方案将时延视为系统的备选模式，通过对平稳分布的理论分析，将其简化为三参数模型并确定超参数取值。该方法在巡航控制应用上进行评估，结果显示可在几秒内完成检测，且虚警概率较低。
英文摘要
Time-delays are known to have a detrimental effect on feedback systems. In the context of networked cyber-physical systems, delays can be injected by malicious adversaries. Detecting them early is an important challenge. This paper proposes a novel variation of Interacting Multiple Model filtering to detect delay injection attacks in feedback control systems, when hidden in an open loop setting. The detection scheme is formalised by treating delay as alternative modes of the system, and theoretical analysis of the stationary distribution informs a reduction to a three parameter model as well as the choices of hyper parameter values. The method is evaluated on a cruise control application, and shows detection within a few seconds and a low false alarm probability.
CommentsAll rights reserved. Copyright 978-3-907144-13-8 \c{opyright}2026 by EUCA
Journal refProceedings of 2026 European Control Conference (ECC),July 7-10, 2026. Reykjavík, Iceland
