Secure Consensus Control for Nonlinear Multi-Agent Systems Against Hybrid Attacks: Bit Rate Constraint

IF 7.9 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2025-04-16 DOI:10.1109/TNSE.2025.3561741

Tingting Ru;Chenxiao Cai;Ju H. Park

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引用次数: 0

Abstract

This paper solves the secure consensus problem of multi-agent systems (MASs) that suffer from hybrid attacks, including denial-of-service (DoS) and replay attacks. Unlike most existing results, which assume simultaneous attacks across the entire network, this paper considers a complex edge-based hybrid attack scenario. At the same time, the problem of the limited communication bandwidth is described by the constrained bit rates from an essential perspective. The challenge lies in the data exchange among neighbors under the hybrid attack. To tackle this, a local observer is constructed to estimate/predict the overall state information. An observer-based secure consensus controller is established with sufficient conditions so that the consensus error system is ultimately exponentially bound. Furthermore, an optimal edge-based bit rate allocation strategy is proposed by solving an optimization problem through the particle swarm optimization algorithm. Eventually, the numerical and spacecraft formation simulations are presented to verify the effectiveness of the developed control strategy under edge-based hybrid attacks and bit rate constraints.

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非线性多智能体系统抗混合攻击的安全一致性控制：比特率约束

本文解决了多智能体系统在遭受拒绝服务攻击和重放攻击时的安全共识问题。与大多数现有结果假设整个网络同时受到攻击不同，本文考虑了一个复杂的基于边缘的混合攻击场景。同时，从本质上用约束比特率来描述通信带宽有限的问题。挑战在于混合攻击下邻居之间的数据交换。为了解决这个问题，构造了一个局部观测器来估计/预测整体状态信息。建立了一个基于观测器的安全共识控制器，该控制器具有足够的条件，使得共识误差系统最终被指数约束。在此基础上，通过粒子群算法求解一个优化问题，提出了一种基于边缘的最优比特率分配策略。最后，通过数值仿真和航天器编队仿真，验证了该控制策略在边缘混合攻击和比特率约束下的有效性。

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 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.