False data injection attacks against state estimation in electric power grids

2011 ◽  
Vol 14 (1) ◽  
pp. 1-33 ◽  
Author(s):  
Yao Liu ◽  
Peng Ning ◽  
Michael K. Reiter
2012 ◽  
Vol 29 (5) ◽  
pp. 33-43 ◽  
Author(s):  
Yih-Fang Huang ◽  
Stefan Werner ◽  
Jing Huang ◽  
Neelabh Kashyap ◽  
Vijay Gupta

2021 ◽  
Vol 7 ◽  
pp. 762-777
Author(s):  
Qinglong Meng ◽  
Yang Li ◽  
Xiaoxiao Ren ◽  
Chengyan Xiong ◽  
Wenqiang Wang ◽  
...  

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1153
Author(s):  
Francesco Liberati ◽  
Emanuele Garone ◽  
Alessandro Di Giorgio

This paper presents a review of technical works in the field of cyber-physical attacks on the smart grid. The paper starts by discussing two reference mathematical frameworks proposed in the literature to model a smart grid under attack. Then, a review of cyber-physical attacks on the smart grid is presented, starting from works on false data injection attacks against state estimation. The aim is to present a systematic and quantitative discussion of the basic working principles of the attacks, also in terms of the inner smart grid vulnerabilities and dynamical properties exploited by the attack. The main contribution of the paper is the attempt to provide a unifying view, highlighting the fundamental aspects and the common working principles shared by the attack models, even when targeting different subsystems of the smart grid.


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