Multi-Objective False Data Injection Attacks of Cyber–Physical Power Systems
Author:
Affiliation:
1. Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/9869776/09792416.pdf?arnumber=9792416
Reference22 articles.
1. Detecting False Data Injection Attacks on Power Grid by Sparse Optimization
2. Stealthy MTD Against Unsupervised Learning-Based Blind FDI Attacks in Power Systems
3. False Data Injection Attacks Induced Sequential Outages in Power Systems
4. False Data Injection Attacks in Electricity Markets by Limited Adversaries: Stochastic Robustness
5. Multi-Objective Evolutionary Optimization for Worst-Case Analysis of False Data Injection Attacks in the Smart Grid
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