Decentralized Maximum Distortion MMSE Attacks in Electricity Grids - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports (Technical Report) Year : 2015

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.
Fichier principal
Vignette du fichier
INRIA-TR2015-466V1.pdf (1.74 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01194369 , version 1 (06-09-2015)

Identifiers

  • HAL Id : hal-01194369 , version 1

Cite

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⟩
252 View
245 Download

Share

Gmail Facebook X LinkedIn More