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On power allocation for jamming attack against wireless state estimation in cyber-physical systems

  • Southeast University, Nanjing

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

4 Scopus citations

Abstract

Recently, the security issues of Cyber-Physical Systems (CPS) have attracted considerable interest from both academic and industrial communities. Due to the open accessibility of wireless channels, wireless remote state estimation is vulnerable to various cyber attacks including jamming attacks with which adversaries can significantly impact the estimation performance by jamming the wireless communications. Moreover, by using higher power, the effect of jamming attack may be greater. In this paper, we consider remotely estimating the states of multiple systems and investigate the power allocation problem for the jamming attacker under its energy constraint. Through theoretical analysis, we show that, under a simple condition, the optimal power allocation scheme is to concentrate the attack power on one single system. Finally, numerical results are presented which validates the theoretical results.

Original languageEnglish
Title of host publicationProceedings - 2016 31st Youth Academic Annual Conference of Chinese Association of Automation, YAC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages123-128
Number of pages6
ISBN (Electronic)9781509044238
DOIs
StatePublished - 3 Jan 2017
Externally publishedYes
Event31st Youth Academic Annual Conference of Chinese Association of Automation, YAC 2016 - Wuhan, China
Duration: 11 Nov 201613 Nov 2016

Publication series

NameProceedings - 2016 31st Youth Academic Annual Conference of Chinese Association of Automation, YAC 2016

Conference

Conference31st Youth Academic Annual Conference of Chinese Association of Automation, YAC 2016
Country/TerritoryChina
CityWuhan
Period11/11/1613/11/16

Keywords

  • cyber-physical systems
  • energy constraint
  • jamming attack
  • power allocation
  • remote state estimation

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