Cyber-Attacks with Resource Constraints on Discrete Event Systems Under Supervisory Control

IF 15.3 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Zhaoyang He;Naiqi Wu;Rong Su;Zhiwu Li
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引用次数: 0

Abstract

With the development of cyber-physical systems, system security faces more risks from cyber-attacks. In this work, we study the problem that an external attacker implements covert sensor and actuator attacks with resource constraints (the total resource consumption of the attacks is not greater than a given initial resource of the attacker) to mislead a discrete event system under supervisory control to reach unsafe states. We consider that the attacker can implement two types of attacks: One by modifying the sensor readings observed by a supervisor and the other by enabling the actuator commands disabled by the supervisor. Each attack has its corresponding resource consumption and remains covert. To solve this problem, we first introduce a notion of combined-attackability to determine whether a closed-loop system may reach an unsafe state after receiving attacks with resource constraints. We develop an algorithm to construct a corrupted supervisor under attacks, provide a verification method for combined-attackability in polynomial time based on a plant, a corrupted supervisor, and an attacker's initial resource, and propose a corresponding attack synthesis algorithm. The effectiveness of the proposed method is illustrated by an example.
监督控制下具有资源约束的离散事件系统网络攻击
随着网络物理系统的发展,系统安全面临越来越多的网络攻击风险。在本研究中,我们研究了外部攻击者利用资源约束(攻击的总资源消耗不大于攻击者的给定初始资源)实施隐蔽传感器和执行器攻击以误导监督控制下的离散事件系统达到不安全状态的问题。我们认为攻击者可以实现两种类型的攻击:一种是通过修改监控者观察到的传感器读数,另一种是通过启用被监控者禁用的执行器命令。每次攻击都有相应的资源消耗,并且保持隐蔽。为了解决这一问题,我们首先引入了组合可攻击性的概念,以确定闭环系统在受到具有资源约束的攻击后是否可能达到不安全状态。提出了一种在攻击下构造损坏监督器的算法,给出了一种基于植物、损坏监督器和攻击者初始资源在多项式时间内验证组合可攻击性的方法,并提出了相应的攻击综合算法。算例说明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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