Random-based Hidden Moving Target Defense against Alert False Data Injection Attackers
Author:
Affiliation:
1. Kansas State University,The Mike Wiegers Department of Electrical and Computer Engineering,Manhattan,United States
Funder
National Science Foundation
U.S. Department of Energy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10252165/10252088/10253069.pdf?arnumber=10253069
Reference14 articles.
1. Optimal D-FACTS Placement in Moving Target Defense Against False Data Injection Attacks
2. Blind False Data Injection Attack Using PCA Approximation Method in Smart Grid
3. Cost-Benefit Analysis of Moving-Target Defense in Power Grids;lakshminarayana;IEEE Trans Power Syst,2020
4. Blind False Data Injection Attacks Against State Estimation Based on Matrix Reconstruction
5. A Comparison of Data-Driven Techniques for Power Grid Parameter Estimation;lakshminarayana;ArXiv,2021
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