Distributed models for sparse attack construction and state vector estimation in the smart grid

Mete Ozay, Inaki Esnaola, Fatos T. Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

Two distributed attack models and two distributed state vector estimation methods are introduced to handle the sparsity of smart grid networks in order to employ unobservable false data injection attacks and estimate state vectors. First, Distributed Sparse Attacks in which attackers process local measurements in order to achieve consensus for an attack vector are introduced. In the second attack model, called Collective Sparse Attacks, it is assumed that the topological information of the network and the measurements is available to attackers. However, attackers employ attacks to the groups of state vectors. The first distributed state vector estimation method, called Distributed State Vector Estimation, assumes that observed measurements are distributed in groups or clusters in the network. The second method, called Collaborative Sparse State Vector Estimation, consists of different operators estimating subsets of state variables. Therefore, state variables are assumed to be distributed in groups and accessed by the network operators locally. The network operators compute their local estimates and send the estimated values to a centralized network operator in order to update the estimated values.

Original languageEnglish (US)
Title of host publication2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012
Pages306-311
Number of pages6
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012 - Tainan, Taiwan, Province of China
Duration: Nov 5 2012Nov 8 2012

Publication series

Name2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012

Other

Other2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012
CountryTaiwan, Province of China
CityTainan
Period11/5/1211/8/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

Keywords

  • Smart grid security
  • attack detection
  • distributed optimization
  • false data injection
  • sparse models

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