Research on the security strategy of power system under cyber attack
Author:
Affiliation:
1. Beijing Guodiantong Network Technology Co., Ltd.,Beijing,China,100160
2. State Grid Info & Telecom Group.,Beijing,China,102211
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10176328/10176396/10176821.pdf?arnumber=10176821
Reference10 articles.
1. On Feasibility and Limitations of Detecting False Data Injection Attacks on Power Grid State Estimation Using D-FACTS Devices;li;IEEE Transactions on Industrial Informatics,2019
2. Distributed non-fragile set-membership filtering for nonlinear systems under fading channels and bias injection attacks
3. A Graph Theory-Based Approach to Detect False Data Injection Attacks in Power System AC State Estimation;jorjani;IEEE Transactions on Industrial Informatics,2020
4. Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach
5. Incentive edge-based federated learning for false data injection attack detection on power grid state estimation: A novel mechanism design approach
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