Adaptive transient fault model for sensor attack detection

Minsu Jo, Junkil Park, Youngmi Baek, Radoslav Ivanov, James Weimer, Sang Hyuk Son, Insup Lee

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

10 Scopus citations

Abstract

This paper considers the problem of sensor attack detection for multiple operating mode systems, building upon an existing attack detection method that uses a transient fault model with fixed parameters. For a multiple operating mode system, the existing method would have to use the most conservative model parameters to preserve the soundness in attack detection, thus not being effective in attack detection for some operating modes. To address this problem, we propose an adaptive transient fault model to use the appropriate parameter values in accordance with the change of the operating mode of the system. The benefit of our proposed system is demonstrated using real measurement data obtained from an unmanned ground vehicle.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages59-65
Number of pages7
ISBN (Electronic)9781509044030
DOIs
StatePublished - 22 Dec 2016
Event4th IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2016 - Nagoya, Japan
Duration: 6 Oct 20167 Oct 2016

Publication series

NameProceedings - 4th IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2016

Conference

Conference4th IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2016
Country/TerritoryJapan
CityNagoya
Period6/10/167/10/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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