Cyber-attack detection and accommodation algorithm for energy delivery systems

Mestha, Lalit K.; Anubi, Olugbenga M.; Abbaszadeh, Masoud

doi:10.1109/ccta.2017.8062642

Title: Cyber-attack detection and accommodation algorithm for energy delivery systems

Conference · Tue Aug 01 00:00:00 EDT 2017 · 2017 IEEE Conference on Control Technology and Applications (CCTA)

DOI:https://doi.org/10.1109/ccta.2017.8062642· OSTI ID:1905838

Mestha, Lalit K.; Anubi, Olugbenga M.; Abbaszadeh, Masoud

Cyber-attack accommodation in a cyber-physical system is to ensure system operation, integrity and availability while maintaining a reasonable operational performance under attack. In this paper, we present a novel cyber-attack accommodation algorithm by estimating the true operational states of the system with new boundary & performance constrained resilient estimators while the system is continuously operating and is under attack. Our approach is based on combining data driven machine learning and physics based domain knowledge with traditional resilient estimation. The results were evaluated using a high fidelity model-based simulation environment.

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Research Organization:: General Electric Research

Sponsoring Organization:: USDOE Office of Cybersecurity, Energy Security, and Emergency Response (CESER)

DOE Contract Number:: OE0000833

OSTI ID:: 1905838

Journal Information:: 2017 IEEE Conference on Control Technology and Applications (CCTA), Conference: 2017 IEEE Conference on Control Technology and Applications (CCTA), Maui, HI, USA, 27-30 August 2017

Country of Publication:: United States

Language:: English

References (10)

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Attack Detection and Identification in Cyber-Physical Systems Pasqualetti, Fabio; Dorfler, Florian; Bullo, Francesco IEEE Transactions on Automatic Control, Vol. 58, Issue 11 https://doi.org/10.1109/TAC.2013.2266831	journal	November 2013
Detection of sensor attack and resilient state estimation for uniformly observable nonlinear systems Kim, Junsoo; Lee, Chanhwa; Shim, Hyungbo 2016 IEEE 55th Conference on Decision and Control (CDC) https://doi.org/10.1109/CDC.2016.7798445	conference	December 2016
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