False Data Injection Attack Detection in a Power Grid Using RNN
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8560606/8591058/08591079.pdf?arnumber=8591079
Cited by 18 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. Markov game based on reinforcement learning solution against cyber–physical attacks in smart grid;Expert Systems with Applications;2024-12
2. A Systematic Analysis of Enhancing Cyber Security Using Deep Learning for Cyber Physical Systems;IEEE Access;2024
3. Cyber-Physical System Defense Decision-Making Based on Priori Knowledge of Traffic Anomaly Detection;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15
4. Study of Cyber Attack’s Impact on LCC-HVDC System With False Data Injection;IEEE Transactions on Smart Grid;2023-07
5. Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids;2023 32nd International Conference on Computer Communications and Networks (ICCCN);2023-07
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