Cybersecurity Defence of Synchrophasors in Distribution Systems: A Deep Learning Approach
Author:
Affiliation:
1. University of Queensland,School of Information Technology and Electrical Engineering,Brisbane,Australia
2. The Hong Kong University of Science and Technology,Department of Computer Science and Engineering,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10406302/10407105/10407305.pdf?arnumber=10407305
Reference13 articles.
1. Synchronized Measurements and their Applications in Distribution Systems: An Update Draft,2020
2. Fusion of Cognitive Wireless Networks and Edge Computing
3. Spatio-Temporal Characterization of Synchrophasor Data Against Spoofing Attacks in Smart Grids
4. IEEE C37.118-2 Synchrophasor Communication Framework - Overview, Cyber Vulnerabilities Analysis and Performance Evaluation
5. A maiden application of Jaccard similarity for identification of tripped branch utilizing current synchronized measurement considering false data injection attack
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