Designing three indicators to detect false data injection attacks on smart grid by dynamic state estimation
Author:
Affiliation:
1. The Faculty of Electrical and Computer Engineering of KNT University of Technology, Tehran, Iran
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference18 articles.
1. Detection of false data injection attacks in smart-grid systems;Chen;Communications Magazine, IEEE,2015
2. Yang Q. , Chang L. and Yu W. , On false data injection attacks against Kalman filtering in power system dynamic state estimation, Security and Communication Networks, (2013).
3. Yang Y. , Littler T. , Sezer S. , McLaughlin K. and Wang H.F. , Impact of cyber-security issues on smart grid, In Innovative Smart Grid Technologies (ISGT Europe), 2011 2nd IEEE PES International Conference and Exhibition on 2011, pp. 1–7.
4. Defending false data injection attack on smart grid network using neuro-fuzzy controller;Hossein;Journal of Intelligent and Fuzzy Systems,2014
5. Cyber–physical security of a smart grid infrastructure;Mo;Proceedings of the IEEE,2012
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Detection of False Data Injection Attacks in Smart Grid Based on Joint Dynamic and Static State Estimation;IEEE Access;2023
2. Data filter function incremental mining based on feature selection in an active distribution network;IET Cyber-Physical Systems: Theory & Applications;2020-08-19
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