Fasle data injection attacks in cyber-physical systems based on inaccurate model

Fangyuan Hou*, Jian Sun

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

This paper is concerned with the problem of designing successful false data injection attacks in cyber-physical systems from the attacker's angle. A discrete linear time-invariant system is considered, which is equipped with a Kalman filter and a χ2 failure detector. It is assumed that the attacker cannot obtain the accurate model of the control system. Based on the inaccurate model, the method of designing stealthy false data injection attacks, which can compromise the system without being detected is proposed. A sufficient condition under which the attacker can successfully compromise the system is also proposed. A numerical example is provided to illustrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5791-5796
Number of pages6
ISBN (Electronic)9781538611272
DOIs
Publication statusPublished - 15 Dec 2017
Event43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
Duration: 29 Oct 20171 Nov 2017

Publication series

NameProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Volume2017-January

Conference

Conference43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Country/TerritoryChina
CityBeijing
Period29/10/171/11/17

Keywords

  • False data injection attacks
  • cyber-physical systems
  • inaccurate identified model

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