基于状态反馈的控制器抵御传感器攻击

IF 0.4 Q4 ENGINEERING, MULTIDISCIPLINARY
Ingenieria Pub Date : 2023-05-31 DOI:10.14483/23448393.20094
L. F. Cómbita, N. Quijano, A. Cárdenas
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引用次数: 0

摘要

背景:本文的动机是需要提高工业控制系统的弹性。目前在工业控制系统中运行的许多控制系统是在通信(有线和无线网络)蓬勃发展之前设计和实施的。然而,现在它们与通信网络相连。这种连接性的增加使得系统容易受到网络攻击的影响,这些攻击试图降低控制回路的正常运行,甚至只影响一个传感器。方法:我们使用容错控制和经典控制理论的概念来证明在没有(任何)系统输出的情况下重构系统状态是可能的。利用这一事实,通过攻击检测和隔离算法对控制信号进行重新计算,避免将攻击反馈给系统,减轻其影响。利用Matlab和Simulink在四缸试验台上进行了仿真,验证了该方案的有效性。结果:我们表明,可以设计一组未知输入观测器来从受攻击的传感器中恢复真实信息,即在不受攻击影响的情况下恢复信息。因此,从这些观察者获得的估计可以用于计算控制动作,以减轻攻击的影响。结论:这种攻击的缓解可以防止单个传感器攻击显著损害低级控制器的动作,提高系统的弹性,只需修改数字控制器架构。所提出的发展仅限于对系统传感器的网络攻击,每次只提出一个,仍然可以严重损害系统的行为。未来的工作将解决在多个传感器同时受到攻击的情况下所提出的结果的扩展,和/或考虑对控制系统执行器的攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Defending State-Feedback Based Controllers Against Sensor Attacks
Context: This paper is motivated by the need to improve the resilience of industrial control systems. Many control systems currently operating in the industry were designed and implemented before the boom in communications (wired and wireless networks) within industrial control systems. However, nowadays they operate connected to the communications network. This increase in connectivity has made the systems susceptible to cyber-attacks that seek to degrade the proper operation of the control loop even affecting only one sensor. Method: We use concepts from fault tolerant control and classic control theory to show that it is possible to reconstruct the system state without (any) one of the system outputs. This fact is used in the recalculation of the control signal through an algorithm of attack detection and isolation, to avoid for an attack to be feedback to the system, mitigating its effect. We show the effectiveness of our proposal with simulations on a four-tanks testbed using Matlab and Simulink. Results: We show that a bank of unknown input observers can be designed to recover true information from attacked sensors, i.e., recover the information without the effect of the attack. Therefore, the estimation obtained from those observers can be utilized for computing a control action that mitigates the effect of the attack. Conclusions: This mitigation of the attack prevents a single sensor attack from signi cantly impair the action of low-level controllers, improving the resilience on the system just modifying the digital controller architecture. The development presented is limited to cyber-attacks on system sensors pre- sented one at a time, that still can compromise seriously the system behavior. Future work will address the extension of the presented results in situations with simultaneous attacks on more than one sensor, and/or consider attacks on the control system actuators.
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来源期刊
Ingenieria
Ingenieria ENGINEERING, MULTIDISCIPLINARY-
CiteScore
0.70
自引率
25.00%
发文量
33
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