<b>DoS</b>攻击下具备隐私保护的多智能体系统均值趋同控制

胡沁伶; 郑宁; 徐明; 伍益明; 何熊熊

doi:10.16383/j.aas.c201019

DoS攻击下具备隐私保护的多智能体系统均值趋同控制

doi: 10.16383/j.aas.c201019

胡沁伶^1,,
郑宁^1,,
徐明^1,,
伍益明^1,,
何熊熊^2,

1.
杭州电子科技大学网络空间安全学院杭州 310018
2.
浙江工业大学信息工程学院杭州 310023

基金项目: 国家自然科学基金(61803135, 61873239, 62073109)和浙江省公益技术应用研究项目(LGF21F020011)资助

详细信息

作者简介:
胡沁伶：杭州电子科技大学网络空间安全学院硕士研究生. 2015年获杭州电子科技大学学士学位. 主要研究方向为多智能体系统网络安全和隐私保护. E-mail: Hazelhu0601@126.com

郑宁：杭州电子科技大学网络空间安全学院研究员. 1990年获浙江大学硕士学位. 主要研究方向为信息安全, 信息管理系统和多智能体系统. E-mail: nzheng@hdu.edu.cn

徐明：杭州电子科技大学网络空间安全学院教授. 2004年获浙江大学博士学位. 主要研究方向为网络信息安全和数字取证. E-mail: mxu@hdu.edu.cn

伍益明：杭州电子科技大学网络空间安全学院副教授. 2016年获浙江工业大学控制科学与工程博士学位. 主要研究方向为分布式系统安全控制, 多智能体系统网络安全和迭代学习控制. 本文通信作者. E-mail: ymwu@hdu.edu.cn

何熊熊：浙江工业大学信息工程学院教授. 1997年获浙江大学博士学位. 主要研究方向为迭代学习控制和智能控制及其在多智能体系统和传感器网络中的应用. E-mail: hxx@zjut.edu.cn

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出版历程
- 收稿日期: 2020-12-09
- 录用日期: 2021-03-02
- 网络出版日期: 2021-05-20
- 刊出日期: 2022-06-01

Privacy-preserving Average Consensus Control for Multi-agent Systems Under DoS Attacks

1.
School of Cyberspace, Hangzhou Dianzi University, Hangzhou 310018
2.
College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023

Funds: Supported by National Natural Science Foundation of China (61803135, 61873239, 62073109) and Zhejiang Provincial Public Welfare Research Project of China (LGF21F020011)

More Information

Author Bio:
HU Qin-Ling　Master student at the School of Cyberspace, Hangzhou Dianzi University. She received her bachelor degree from Hangzhou Dianzi University in 2015. Her research interest covers cyber-security for multi-agent systems and privacy-preserving

ZHENG Ning　Professor at the School of Cyberspace, Hangzhou Dianzi University. He received his master degree from Zhejiang University in 1990. His research interest covers information security, information management system and multi-agent network

XU Ming　Professor at the School of Cyberspace, Hangzhou Dianzi University. He received his Ph.D. degree from Zhejiang University in 2004. His research interest covers network security and digital forensics

WU Yi-Ming　Associate professor at the School of Cyberspace, Hangzhou Dianzi University. He received his Ph.D. degree from Zhejiang University of Technology in 2016. His research interest covers distributed system secure control, cyber-security for multi-agent systems and iterative learning control. Corresponding author of this paper

HE Xiong-Xiong　Professor at the College of Information Engineering, Zhejiang University of Technology. He received his Ph.D. degree from Zhejiang University in 1997. His research interest covers iterative learning control, intelligent control, applications in multi-agent systems and sensor networks

摘要

摘要: 均值趋同是一种广泛应用于分布式计算和控制的算法, 旨在系统通过相邻节点间信息交互、更新, 最终促使系统中所有节点以它们初始值的均值达成一致. 研究拒绝服务(Denial-of-service, DoS)攻击下的分布式离散时间多智能体系统均值趋同问题. 首先, 给出一种基于状态分解思想的分布式网络节点状态信息处理机制, 可保证系统中所有节点输出值的隐私. 然后, 利用分解后的节点状态值及分析给出的网络通信拓扑条件, 提出一种适用于无向通信拓扑的多智能体系统均值趋同控制方法. 理论分析表明, 该方法能够有效抵御DoS攻击的影响, 且实现系统输出值均值趋同. 最后, 通过仿真实例验证了该方法的有效性.
- 多智能体系统 /
- 均值趋同 /
- 拒绝服务攻击 /
- 隐私保护 /
- 网络安全
Abstract: Average consensus is a widely used algorithm for distributed computing and control, where all the nodes in the network constantly communicate and update their states in order to achieve an agreement. In this paper, we study the average consensus problem for discrete-time multi-agent systems under DoS attacks. First, a distributed network node state value processing mechanism based on state decomposition is given, which can ensure the privacy of the output values of all nodes in the system. Then, through using the decomposed node state values and the network topology conditions given by the analysis, an average output consensus control law for distributed discrete-time multi-agent systems is proposed. Theoretical analysis shows that the proposed method can effectively resist the influence of DoS attacks on the system, and achieve the convergence of the average value of system initial outputs. Finally, numerical examples are presented to show the validity of the proposed method.
- Multi-agent systems /
- average consensus /
- denial-of-service attack /
- privacy-preserving /
- cyber security

HTML全文

图 1 DoS攻击下的多智能系统框图

Fig. 1 The diagram of the multi-agent system under DoS attacks

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图 2 5个节点组成的示例图

Fig. 2 Example of network with 5 nodes

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图 3 5个节点组成的通信图

Fig. 3 Network topology of multi-agent system with 5 nodes

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图 4 控制方法下的各节点状态轨迹^[13]

Fig. 4 State trajectory of each node with control law^[13]

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图 5 DoS攻击影响下各节点状态轨迹^[13]

Fig. 5 State trajectory of each node with control law under DoS attacks^[13]

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图 6 5个节点组成的新通信图

Fig. 6 New network topology of 5 nodes

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图 7 DoS攻击下系统中各节点在本文所提算法下的输出状态轨迹

Fig. 7 State trajectory of each node with our proposed control law under DoS attacks

下载: 全尺寸图片幻灯片

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