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International Conference on Communications and Networking in China

ChinaCom 2019: Communications and Networking pp 483–497Cite as

Performance Analysis of Consensus-Based Distributed System Under False Data Injection Attacks

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Abstract

This paper investigates the security problem of consensus-based distributed system under false data injection attacks (FDIAs). Since the injected false data will spread to the whole network through data exchange between neighbor nodes, and result in continuing effect on the system performance, it is significant to study the impact of the attack. In this paper, we consider two attack models according to the property of the injection data, the deterministic attack and the stochastic attack. Then, the necessary and sufficient condition for the convergence of distributed system under the attack are derived, and the attack feature making the system unable to converge is provided. Moreover, the convergence result under resource-limited attack is deviated. On the other hand, the statistical properties of the convergence performance under zero-mean and non-zero-mean stochastic attacks are analyzed, respectively. Simulation results illustrate the effects caused by FDIAs on the convergence performance of distributed system.

This work was partly supported by National Natural Science Foundation of China (No. 61671410, No. 61471318) and Zhejiang Provincial Natural Science Foundation of China (No. LGG18F010005, No. 2018R52046).

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Authors and Affiliations

  1. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China

    Xiaoyan Zheng, Lei Xie, Huifang Chen & Chao Song

  2. Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, Hangzhou, 310027, China

    Lei Xie

  3. Zhoushan Ocean Research Center, Zhoushan, 316021, China

    Huifang Chen

Authors
  1. Xiaoyan Zheng
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  2. Lei Xie
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  3. Huifang Chen
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  4. Chao Song
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Corresponding author

Correspondence to Huifang Chen .

Editor information

Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Honghao Gao

  2. School of Computer Software, Tianjin University, Tianjin, China

    Zhiyong Feng

  3. Hangzhou Dianzi University, Hangzhou, China

    Jun Yu

  4. Tongji University, Shanghai Shi, China

    Jun Wu

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zheng, X., Xie, L., Chen, H., Song, C. (2020). Performance Analysis of Consensus-Based Distributed System Under False Data Injection Attacks. In: Gao, H., Feng, Z., Yu, J., Wu, J. (eds) Communications and Networking. ChinaCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-030-41114-5_36

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  • DOI: https://doi.org/10.1007/978-3-030-41114-5_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41113-8

  • Online ISBN: 978-3-030-41114-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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