Skip to Main content Skip to Navigation
New interface
Reports (Technical report)

Decentralized Maximum Distortion MMSE Attacks in Electricity Grids

Iñaki Esnaola 1 Samir M. Perlaza 2 H. Vincent Poor 3 Oliver Kosut 4 
2 SOCRATE - Software and Cognitive radio for telecommunications
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : Multiple attacker data injection attack construction in electricity grids with minimum- mean-square-error (MMSE) state estimation is studied for centralized and decentralized scenarios. A performance analysis of the trade-off between the maximum distortion that an attack can introduce and the probability of the attack being detected by the network operator is considered. Within this setting, optimal centralized attack construction strategies are studied. The decentralized case is examined in a game-theoretic setting. A novel utility function is proposed to model this trade-off and it is shown that the resulting game is a potential game. The existence and cardinality of the corresponding set of Nash Equilibria (NE) in the game is analyzed. For the particular case of two attackers, numerical results based on IEEE test systems are presented. These results suggest that attackers perform better when they seize control of power flow measurements instead of power injection measurements.
Document type :
Reports (Technical report)
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download
Contributor : Samir M. Perlaza Connect in order to contact the contributor
Submitted on : Sunday, September 6, 2015 - 2:39:26 PM
Last modification on : Friday, November 18, 2022 - 9:25:07 AM
Long-term archiving on: : Monday, December 7, 2015 - 10:50:17 AM


Files produced by the author(s)


  • HAL Id : hal-01194369, version 1



Iñaki Esnaola, Samir M. Perlaza, H. Vincent Poor, Oliver Kosut. Decentralized Maximum Distortion MMSE Attacks in Electricity Grids. [Technical Report] RT-0466, Inria - Research Centre Grenoble – Rhône-Alpes. 2015, pp.26. ⟨hal-01194369⟩



Record views


Files downloads