Defense for Displacement Attacks on Distributed Formation Control Systems

IF 6.7 2区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Yue Yang;Yang Xiao;Tieshan Li;Kezhong Liu
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引用次数: 0

Abstract

As an effective multi-agent system (MAS) control method, formation control is widely used in uncrewed systems, such as uncrewed surface/underwater/aerial vehicles and spacecrafts. However, the security issues of formation control have received little attention. Compared with traditional industry systems (such as smart grids or intelligence appliances), designing countermeasure approaches for distributed formation systems under attacks has several challenges, such as limited local information, robot mobility, and a chain reaction of attacks. In this paper, based on a classical formation control law on a group of robots, we concentrate on maintaining an acceptable formation performance under Man-in-the-Middle-based (MITM-based) displacement attacks. The MITM-based displacement attacks can utilize the property of formation maintenance and hijack the whole robot group. We propose two kinds of novel countermeasure approaches. An active approach, which is named the comparison-based identification and elimination (CIE) algorithm, can identify attack messages and calculate estimate values to replace attack messages based on local information. A passive approach can tolerate attack effects by designing a task priority adjustment (TPA) controller. The TPA controller can gradually adjust the formation maintenance priority to degrade attack effects. Simulation with several nonholonomic differentially driven mobile robots is conducted, and results show that our schemes can significantly decrease the impact of constant and time-varying attacks.
防御对分布式编队控制系统的位移攻击
作为一种有效的多代理系统(MAS)控制方法,编队控制被广泛应用于非乘员系统,如非乘员水面/水下/空中飞行器和航天器。然而,编队控制的安全问题却很少受到关注。与传统的工业系统(如智能电网或智能家电)相比,为受到攻击的分布式编队系统设计反制方法面临多种挑战,如本地信息有限、机器人移动性和攻击的连锁反应等。本文以一组机器人的经典编队控制法为基础,重点研究如何在基于中间人(MITM)的位移攻击下保持可接受的编队性能。基于 MITM 的位移攻击可以利用队形维持的特性,劫持整个机器人群。我们提出了两种新颖的应对方法。一种主动方法被命名为基于比较的识别和消除(CIE)算法,它可以识别攻击信息,并根据本地信息计算估计值来替换攻击信息。被动方法通过设计任务优先级调整(TPA)控制器来容忍攻击影响。TPA 控制器可逐步调整编队维护优先级,以降低攻击影响。我们用几个非全局性差异驱动移动机器人进行了仿真,结果表明我们的方案可以显著降低恒定攻击和时变攻击的影响。
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来源期刊
IEEE Transactions on Network Science and Engineering
IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering
CiteScore
12.60
自引率
9.10%
发文量
393
期刊介绍: The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.
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