降低重放攻击检测延迟的水印与控制器协同设计

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Chenggang Xia, Kun Liu, Haojun Wang, Tao Liu, Juntao Li, Yuanqing Xia
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引用次数: 0

摘要

本文通过对水印信号和控制器参数的共同设计,研究了降低重放攻击检测延迟的问题。在动态加解密方案的基础上,提出了一种利用传感器测量值和水印信号检测重放攻击的累积和检验方法,推导了检测延迟与水印信号协方差之间的关系。然后,我们分析了在传感器测量中加入水印信号对控制性能造成的损失,以暴露重放攻击。此外,为了减少检测延迟,提出了一个优化问题来设计具有可容忍控制性能损失的水印信号的最优协方差。最后,我们重新提出了另一个优化问题,即共同设计水印信号和控制器参数,以同时减少检测延迟和控制性能损失。通过数值算例验证了理论结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Co-Design of Watermarking and Controller for Reducing Detection Delay of Replay Attacks

This paper investigates the problem of reducing the detection delay of the replay attacks by co-designing the watermarking signal and the controller parameters. Based on the dynamic encryption-decryption scheme, we propose a cumulative sum test, which utilizes the sensor measurements and watermarking signals to detect the replay attacks, and derive the relationship between the detection delay and the watermarking signal covariance. Then, we analyze the control performance loss caused by the watermarking signal added to the sensor measurements to expose the replay attacks. Furthermore, to reduce the detection delay, an optimization problem is formulated to design the optimal covariance of the watermarking signal with a tolerable control performance loss. Finally, we reformulate another optimization problem of co-designing the watermarking signal and the controller parameters to simultaneously reduce the detection delay and the control performance loss. A numerical example is provided to verify the effectiveness of theoretical results.

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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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