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distributed secure state estimation of Multi-Agent Systems Under Homologous Sensor Attacks

IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 67-77页

作者： Yukun Shi Youqing Wang Jianyong Tuo the College of Information Science and Technology Beijing University of Chemical TechnologyBeijing 100029China IEEE

This paper addresses the problem of distributed secure state estimation for multi-agent systems under homologous sensor *** types of secure Luenberger-like distributed observers are proposed to estimate the system state and attack signal ***,the proposed two observers are applicable to deal with the cases in the presence and absence of time delays during network *** is also shown that the proposed observers can ensure the attack estimations from different agents asymptotically converge to the same *** conditions for guaranteeing the asymptotic convergence of the estimation errors are *** examples are finally provided to demonstrate the effectiveness of the proposed results.

关键词： Consensus-based Luenberger-like observer distributed secure state estimation homologous signal

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distributed secure state estimation in the Presence of Malicious Agents

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2021年第6期66卷 2875-2882页

作者： Lu, An-Yang Yang, Guang-Hong Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Peoples R China

This article investigates the distributed secure state estimation problem of distributed systems where a set of agents estimates the state cooperatively in the presence of malicious agents. First, a sufficient condition for the solvability of the distributed secure state estimation problem is proposed. Second, based on the obtained condition, a distributed switched gradient descent (DSGD) algorithm is designed to solve the considered problem which is transformed into a distributed optimization problem. With the help of a candidate-removal mechanism, the proposed DSGD algorithm successfully generates reliable state estimates despite malicious agents. Finally, the effectiveness of the proposed algorithm is illustrated by a numerical example.

关键词： state estimation Optimization Resilience Switches Reliability Sensors distributed optimization distributed secure state estimation distributed system gradient descent algorithm malicious agents

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distributed secure state estimation of Multi-Sensor Systems Subject to Two-Channel Hybrid Attacks

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IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS 2022年 8卷 1049-1058页

作者： Song, Haiyu Yao, Hongyi Shi, Peng Zhang, Dan Yu, Li Zhejiang Univ Finance & Econ Coll Informat Hangzhou 310018 Peoples R China Univ Adelaide Sch Elect & Elect Engn Adelaide SA 5005 Australia Zhejiang Univ Technol Dept Automat Hangzhou 310023 Peoples R China

This paper focuses on the distributed secure state estimation problem, for a class of wireless networked multi-sensor systems, in a non-secure communication environment. The phenomenon of hybrid attacks in both the measurement information transmission channel and the local information transmission channel, is considered. By analyzing the hybrid occurrence of DoS attacks as well as false data injection attacks in these two channels, a novel switched distributed secure state estimation system which consists of nine subsystems is modeled. Based on the average dwell-time approach, sufficient conditions are derived such that the switched distributed secure state estimation error system is exponential stable and satisfies a desired disturbance/attack attenuation performance. Finally, an illustrative example is given to verify the effectiveness of the proposed distributed secure estimator design method.

关键词： distributed secure state estimation hybrid attacks average dwell-time switched system

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distributed secure state estimation with a priori sparsity information

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IET CONTROL THEORY AND APPLICATIONS 2022年第11期16卷 1086-1097页

作者： Shinohara, Takumi Namerikawa, Toru Keio Univ Grad Sch Sci & Technol Keio Kanagawa Japan Keio Univ Dept Syst Design Engn Keio Kanagawa Japan

This paper addresses the problem of distributed secure state estimation of a discrete-time linear dynamical system in an adversarial environment. Much of the recent work on this problem has imposed redundancy requirements on measurement and communication networks for state estimation in the presence of attacks. In this paper, the authors aim to relax this redundancy requirement by using prior information about the state to be estimated. A scenario where sparsity information of the state is given is especially considered, and it is shown that the a priori sparsity information alleviates the redundancy requirement. An algorithm for distributed secure state estimation is then derived and a sufficient condition on the convergence of the algorithm is given. Numerical simulations finally illustrate the effectiveness of the algorithm.

关键词： state estimation a priori sparsity information security of data linear systems distributed secure state estimation adversarial environment discrete time systems discrete-time linear dynamical system distributed processing redundancy requirement

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distributed secure state estimation Against Sparse Attacks: A Sensor Clustering Approach 62

Distributed Secure State Estimation Against Sparse Attacks: ...

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62nd Annual Conference of the Society-of-Instrument-and-Control-Engineers (SICE)

作者： Lei, Xuqiang Wen, Guanghui Wang, Shuai Southeast Univ Sch Math Nanjing Peoples R China Beihang Univ Sch Comp Sci & Engn Beijing Peoples R China

ISBN: (纸本)9784907764807

This paper investigates the problem of sparse attack isolation and distributed secure state estimation (SSE) for remote sensor network in an attack-prone environment. The attack considered in the present paper is a variant of the sparse sensor attack model, and is characterized by the number of sensors clusters that can be compromised at each moment. By analyzing the worst-case scenario in the presence of the considered attack, an attack detection and isolation mechanism based on the weighted communication design is provided to block the spread of the attack across the observer network. Moreover, based on the attack isolation, a distributed SSE algorithm is constructed to ensure globally consistent state estimation. Finally, a numerical simulation is provided to validate the effectiveness of the proposed conditions and algorithm.

关键词： Sensor network distributed secure state estimation sparse attack weighted communication

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distributed secure state estimation for linear systems against malicious agents through sorting and filtering

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AUTOMATICA 2023年第1期151卷

作者： Lu, An -Yang Yang, Guang-Hong Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China Northeastern Univ State Key Lab Synthet Automation Proc Ind Shenyang 110819 Peoples R China King Abdulaziz Univ Dept Elect & Comp Engn Jeddah 21589 Saudi Arabia

This paper investigates the distributed secure state estimation problem for the cyber-physical systems monitored by a multi-agent network where partial agents are malicious. Through introducing a sort and filter approach, a novel distributed secure state estimation strategy, where the impact of malicious agents is mitigated through discarding partial extreme values from the received vectors, is proposed. Sufficient conditions on the graph topology and the system matrices to tolerant a bounded number of malicious agents are given. It is shown that by adopting the proposed secure state estimation strategy, normal agents can effectively generate correct state estimate in the presence of malicious agents. Besides, for efficiently updating the state estimate while new measurements are available, a distributed observer is also designed. Compared with the existing techniques searching an appropriate candidate from multiple ones, the proposed secure state estimation strategies are much more computationally efficient since reliable state estimates are generated without brute force search. Finally, simulation results are provided to illustrate the effectiveness of the proposed algorithms.(c) 2023 Elsevier Ltd. All rights reserved.

关键词： Cyber-physical systems distributed secure state estimation Malicious agents distributed gradient descent algorithm distributed observer

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Event-triggered distributed secure state estimation for homologous sensor attacks

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ISA TRANSACTIONS 2023年 143卷 10-19页

作者： Shi, Yukun Ma, Haixin Tuo, Jianyong Wang, Youqing Beijing Univ Chem Technol Beijing Peoples R China

Network security technology is capable of mitigating attack signals launched by malicious attackers, thereby safeguarding and bolstering system security. secure state estimation is a type of network defense technology that involves reconstructing the system state by measuring potential attacks. The relevant research has also been expanded to distributed systems to enable collaborative secure state estimation among different agents facing homogeneous attacks;however, such research significantly enhance the communication load of the system. On the other hand, if the homogeneous attack is non-existent or consistent, excessive network communication is definitely inefficient. An event-triggered approach is a potent technique that can alleviate communication overhead while having minimal impact on system performance. This paper proposes a mechanism for event-triggered transmission in the context of distributed secure state estimation. While communication latency and data transmission disorder may be present within the communication network, the estimation error of the proposed observer is constrained and bounded. The simulation results indicate that for stable malicious attack signals, system communication can be divided into high-frequency and low-frequency communication periods. The simulation results also shows that the maximum estimation error is proportional to the trigger threshold, allowing the observer's performance to be finely tuned to the required precision.

关键词： distributed secure state estimation Event-triggered Homologous signal

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Trust-Based distributed secure state estimation Against Malicious Agents via Two-Hop Communication

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2024年第2期69卷 1006-1013页

作者： Gao, Rui Yang, Guang-Hong Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Peoples R China King Abdulaziz Univ Fac Engn Dept Elect & Comp Engn Jeddah 21589 Saudi Arabia

This article studies the distributed secure state estimation problem in unreliable multiagent networks through adversary detection. The agents are endowed with the capacity for detecting malicious neighbors and aim to collaboratively estimate the state variables of a dynamic system in the presence of malicious agents. A trust mechanism is first introduced to characterize the reliability of the information received from in-neighbors and identify the reliable information of two-hop in-neighbors. With the help of the trust mechanism and two-hop communication, two distributed secure state estimation schemes with adversary detection algorithms are developed under different resource requirements and adversary models. Necessary and sufficient conditions on the graph connectivity and joint detectability are established to guarantee that all the regular agents can detect the malicious in-neighbors and generate accurate estimates. An example is given to show the effectiveness of the proposed methods.

关键词： Attack detection distributed secure state estimation malicious agents two-hop communication

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Privacy-preserving distributed state estimation for microgrids based on encrypted measurements under bit-rate constraints

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INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE 2025年

作者： Zhao, Peifeng Chen, Yangkai Ding, Derui Liu, Hongjian Univ Shanghai Sci & Technol Shanghai 200093 Peoples R China Anhui Polytech Univ Sch Math Phys & Finance Wuhu Peoples R China

System measurements and monitoring with information security become vital for microgrids because of the vulnerability of communication networks. The focus of this paper is on privacy-preserving distributed state estimation with measurement data in the face of bit-rate constraints. A new dynamic encryption mechanism designed based on time-varying linear transformations is created to facilitate the encryption of measurements of microgrids. In light of the proposed encryption rule combined with bit-rate constraints, an iterative recursive scheme in a distributed way, receiving the desired estimator gains, is proposed by optimising the upper bound of the estimation error covariance. In addition, the impact of the allocated bit rate is made available to distributed state estimators, and the privacy of encryption strategies adopted is systematically evaluated. Lastly, an engineering-based method is devised to find the linear transformation matrix for a simplified encryption rule. Simulation experiments validate the significant advantages of the established state estimator.

关键词： distributed secure state estimation privacy encrypted measurements bit-rate constraints microgrids

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Dual-Protection Method Against Eavesdroppers for distributed state estimation

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IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS 2025年 11卷 427-438页

作者： Yu, Yan Yang, Chao Ding, Wenjie Yang, Wen Wang, Xiaofan East China Univ Sci & Technol Key Lab Smart Mfg Energy Chem Proc Shanghai 200237 Peoples R China Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200444 Peoples R China Shanghai Inst Technol Sch Elect & Elect Engn Shanghai 201418 Peoples R China

This paper examines a security issue for state estimation over a wireless sensor network. The state estimates are transmitted among neighboring nodes through wireless channels in a distributed network, wherein the transmission of the data are vulnerable to the intercept from eavesdroppers, leading to important data privacy leakage. To prevent eavesdroppers from obtaining state estimates, we propose a dual-protection method that combines dynamic transformation with lightweight encryption, which aims to protect the privacy without raising suspicion from eavesdroppers. Furthermore, we consider the scenarios where eavesdroppers utilize side-channel information to gather data and attempt to deduce the encryption mechanism, subsequently inferring the real state estimate. We also provide the analysis to show that the eavesdropper with inference capabilities could not influence the estimation performance of sensors. Finally, the numerical examples are provided to illustrate the effectiveness of the privacy-preserving method.

关键词： Sensors Encryption Sensor systems Encoding state estimation Intelligent sensors Wireless sensor networks estimation error Eavesdropping Wireless communication distributed secure state estimation eavesdropping encryption privacy-preserving

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