False Phasor Data Detection Under Time Synchronization Attacks: A Neural Network Approach
Author:
Affiliation:
1. School of Control and Computer Engineering, North China Electric Power University, Beijing, China
Funder
Research on the Identification and Active Defense of Advanced Persistent Threat for New Power System
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/9927219/09785867.pdf?arnumber=9785867
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2. Integrated Deep Learning-Based Detection and Robust State Observer Mitigation of Time-Synchronization Attacks: A WADC Case Study;IEEE Transactions on Smart Grid;2024-09
3. A Review of Power System False Data Attack Detection Technology Based on Big Data;Information;2024-07-28
4. The Information Security Issues of Distributed Economic Dispatch for New Generation Power Systems—Present Situation and Forecast;Electronics;2024-07-09
5. A Deep Learning Based Induced GNSS Spoof Detection Framework;IEEE Transactions on Machine Learning in Communications and Networking;2024
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