Comprehensive Survey and Taxonomies of False Injection Attacks in Smart Grid: Attack Models, Targets, and Impacts

19 March 2021

Papers citing "Comprehensive Survey and Taxonomies of False Injection Attacks in Smart Grid: Attack Models, Targets, and Impacts"

8 / 8 papers shown

Title
Designing False Data Injection attacks penetrating AC-based Bad Data Detection System and FDI Dataset generation N. N. Tran H. Pota Q. Tran Xuefei Yin Jiankun Hu 28 7 0 11 Mar 2020
Data-Driven False Data Injection Attacks Against Power Grids: A Random Matrix Approach Subhash Lakshminarayana A. Kammoun Merouane Debbah H. Vincent Poor 56 64 0 06 Feb 2020
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations Benjamin Sliwa Nico Piatkowski Christian Wietfeld 33 40 0 28 Jan 2020
Novel Attacks against Contingency Analysis in Power Grids M. Rahman Md Hasan Shahriar Mohamadsaleh Jafari Rahat Masum 39 12 0 03 Nov 2019
Modeling and performance evaluation of stealthy false data injection attacks on smart grid in the presence of corrupted measurements Adnan Anwar Abdun Naser Mahmood Mark Pickering 40 66 0 20 May 2016
Data Injection Attacks on Smart Grids with Multiple Adversaries: A Game-Theoretic Perspective Anibal Sanjab Walid Saad AAML 53 117 0 01 Apr 2016
Vulnerability Analysis and Consequences of False Data Injection Attack on Power System State Estimation Jingwen Liang Lalitha Sankar O. Kosut 31 228 0 11 Jun 2015
Subspace Methods for Data Attack on State Estimation: A Data Driven Approach Jinsub Kim L. Tong R. Thomas AAML 61 174 0 03 Jun 2014