Detecting injection attacks in linear time invariant systems

P. Loh, G. Sabaliauskaite, A. Mathur

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

2 Citations (Scopus)

Abstract

A novel technique to detect injection attacks in linear time invariant systems is proposed. Detection involves the use of a cross-correlator that dynamically increases its analysis window to increase the probability of detection. For correlation analysis and potential remediation, the cross-correlator makes reference to a linear (internal) model of the system sensor. Unlike some existing techniques, it does not require the construction of a complex internal model of the entire control system, pre-knowledge of the attacking signal characteristics or perturbation of the control system. Performance simulations show probabilities of detection that can reach 100% with bounded analysis window size. Sensitivity analysis also show that the cross-correlator exhibits good robustness against unlikely to occasional transient sensor failures.
Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2013
PublisherIEEE
ISBN (Electronic)978-1-4799-1075-5
DOIs
Publication statusPublished - 3 Mar 2014
Externally publishedYes
Event6th Conference on Cybernetics and Intelligent Systems (CIS) - Manila, Philippines
Duration: 12 Nov 201515 Nov 2015
Conference number: 6

Conference

Conference6th Conference on Cybernetics and Intelligent Systems (CIS)
CountryPhilippines
CityManila
Period12/11/1515/11/15

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  • Cite this

    Loh, P., Sabaliauskaite, G., & Mathur, A. (2014). Detecting injection attacks in linear time invariant systems. In Proceedings of the 2013 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2013 IEEE. https://doi.org/10.1109/ICCIS.2013.6751583