Actuator and Sensor Attacks Against Multisensor State Estimation With Round-Robin Protocol

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Informatics Pub Date : 2025-01-31 DOI:10.1109/TII.2025.3528546
Kaijing Jin;Dan Ye
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Abstract

In this article, we focus on the security issue of multisensor state estimation under actuator and sensor attacks. Due to the limitation of network bandwidth, we consider a scenario where the sensor data is transmitted following a round-robin protocol. If attacks can access all actuator and sensor channels, the necessary and sufficient conditions for the existence of joint attacks are presented. In this case, the attacks can cause the estimation to diverge while the corrupted innovation remains the same as that of the healthy system. When the attacked actuator or sensor channels are constrained, the existence of such a joint attack is investigated by taking into account the kernel space of system matrices. If only the sensor data are compromised, there is no strictly stealthy sensor attack, and we discuss the existence of sensor attacks with a relaxed stealthiness. The simulations are carried out on an autonomous aircraft system and an IEEE 6-bus power system to verify the effectiveness of the developed theoretical results.
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基于轮循协议的多传感器状态估计致动器和传感器攻击
本文主要研究了执行器攻击和传感器攻击下多传感器状态估计的安全问题。由于网络带宽的限制,我们考虑了传感器数据按照轮询协议传输的场景。如果攻击可以访问所有执行器和传感器通道,则给出了联合攻击存在的充分必要条件。在这种情况下,攻击可能导致估计偏离,而腐败的创新与健康的系统保持相同。当被攻击的执行器或传感器通道受到约束时,考虑系统矩阵的核空间,研究了这种联合攻击的存在性。如果只有传感器数据被泄露,则不存在严格的传感器隐身攻击,我们以宽松的隐身性来讨论传感器攻击的存在性。以某自主飞行器系统和IEEE 6总线电源系统为例进行了仿真,验证了理论结果的有效性。
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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