Malicious data attacks against dynamic state estimation in the presence of random noise

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

5 Scopus citations

Abstract

State estimation in a discrete-time linear dynamical system is considered in the presence of random process noise, in addition to a malicious adversary able to manipulate some measurements of the system. The adversary has access to only a subset of the measurements, but the particular subset is unknown, and it may adjust these measurements in an arbitrary fashion. A specific attack is proposed that gives a lower bound on the mean squared error for any estimator. Two estimators are proposed; one based on a non-convex optimization problem using sparsity constraints, the second a convex relaxation using a mixed ℓ1/ℓ2 norm. The performance of both estimators are studied using simulations.

Original languageEnglish (US)
Title of host publication2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
Pages261-264
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Austin, TX, United States
Duration: Dec 3 2013Dec 5 2013

Publication series

Name2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

Other

Other2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
CountryUnited States
CityAustin, TX
Period12/3/1312/5/13

    Fingerprint

Keywords

  • Byzantine attack
  • Cyber-security
  • Dynamic state estimation
  • Malicious data attacks

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

Cite this

Kosut, O. (2013). Malicious data attacks against dynamic state estimation in the presence of random noise. In 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings (pp. 261-264). [6736865] (2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings). https://doi.org/10.1109/GlobalSIP.2013.6736865