Title: Study on detection of attacking nodes in power communication network based on non-parametric CUSUM algorithm

Authors: Mengxiang Liang; Wenlong Yao; Changqi Wei

Addresses: Department of Electronics and Information Security, Guangxi Vocational and Technical College of Safety Engineering, Nanning, 530100, China ' Department of Electronics and Information Security, Guangxi Vocational and Technical College of Safety Engineering, Nanning, 530100, China ' Department of Automation Engineering, Guangxi Water Conservancy and Electric Power Vocational and Technical College, Nanning, 530100, China

Abstract: In order to improve the detection accuracy and time-consuming of traditional attack node detection methods, the paper proposes a new method for power communication network attack node detection based on non-parametric CUSUM algorithm. First, according to the similarity evaluation results, the suspicious nodes in the power communication network are collectively processed. Secondly, in order to make the node sequence meet the calculation requirements of the non-parametric CUSUM algorithm, the node sequence is preprocessed. Finally, the non-parametric CUSUM algorithm is used to calculate the threshold of the attacking node detection, and the attacking node decision function is constructed to complete the detection of the attacking node. Through experimental verification, it is found that the detection method proposed in this study can effectively detect attacking nodes, the detection accuracy is basically maintained above 95%, and the maximum detection time does not exceed 4 s.

Keywords: non-parametric CUSUM algorithm; power communication network; attack node detection.

DOI: 10.1504/IJICT.2024.138787

International Journal of Information and Communication Technology, 2024 Vol.24 No.4, pp.470 - 481

Received: 30 Dec 2021
Accepted: 23 Feb 2022
Published online: 31 May 2024 *

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