Decentralized Maximum Distortion MMSE Attacks in Electricity Grids

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.
Complete list of metadatas

Cited literature [16 references]  Display  Hide  Download

https://hal.inria.fr/hal-01194369
Contributor : Samir Perlaza <>
Submitted on : Sunday, September 6, 2015 - 2:39:26 PM
Last modification on : Tuesday, November 19, 2019 - 11:02:18 AM
Long-term archiving on : Monday, December 7, 2015 - 10:50:17 AM

File

INRIA-TR2015-466V1.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01194369, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

476

Files downloads

297