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Title: A review on cybersecurity analysis, attack detection, and attack defense methods in cyber-physical power systems
Authors: Du, DJ
Zhu, MG
Li, X
Fei, MR
Bu, SQ 
Wu, L
Li, K
Issue Date: May-2023
Source: Journal of modern power systems and clean energy, May. 2023, v. 11, no. 3, p. 727-743
Abstract: Potential malicious cyber-attacks to power systems which are connected to a wide range of stakeholders from the top to tail will impose significant societal risks and challenges. The timely detection and defense are of crucial importance for safe and reliable operation of cyber-physical power systems (CPPSs). This paper presents a comprehensive review of some of the latest attack detection and defense strategies. Firstly, the vulnerabilities brought by some new information and communication technologies (ICTs) are analyzed, and their impacts on the security of CPPSs are discussed. Various malicious cyber-attacks on cyber and physical layers are then analyzed within CPPSs framework, and their features and negative impacts are discussed. Secondly, two current mainstream attack detection methods including state estimation based and machine learning based methods are analyzed, and their benefits and drawbacks are discussed. Moreover, two current mainstream attack defense methods including active defense and passive defense methods are comprehensively discussed. Finally, the trends and challenges in attack detection and defense strategies in CPPSs are provided.
Keywords: Cyber-physical power systems
Security threat
Attack detection
Attack defense
State estimation
Machine learning
Publisher: Springer
Journal: Journal of modern power systems and clean energy 
ISSN: 2196-5625
EISSN: 2196-5420
DOI: 10.35833/MPCE.2021.000604
Rights: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
The following publication D. Du et al., "A Review on Cybersecurity Analysis, Attack Detection, and Attack Defense Methods in Cyber-physical Power Systems," in Journal of Modern Power Systems and Clean Energy, vol. 11, no. 3, pp. 727-743, May 2023 is available at https://dx.doi.org/10.35833/MPCE.2021.000604.
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