Adversarial Attack Mitigation Strategy for Machine Learning-Based Network Attack Detection Model in Power System
Author:
Affiliation:
1. School of Control and Computer Engineering, North China Electric Power University, Beijing, China
Funder
State Grid Corporation Science and Technology Project “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/ielx7/5165411/10106635/09930820.pdf?arnumber=9930820
Reference46 articles.
1. Network Parameter Coordinated False Data Injection Attacks Against Power System AC State Estimation
2. Using Feature Selection for Local Causal Structure Learning
3. Defense of massive false data injection attack via sparse attack points considering uncertain topological changes;huang;J Mod Power Syst Clean Energy,2021
4. Counterfactuals uncover the modular structure of deep generative models;besserve;Proc Int Conf Learn Represent (ICLR),2020
5. Learning-Based DoS Attack Power Allocation in Multiprocess Systems
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