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Physics-Based Methods for Distinguishing Attacks from Faults

Authors:
Gregory Provan
Riccardo Orizio

Keywords: model-based security; model-based diagnosis; state identi cation

Abstract:
Cyber-physical systems (CPSs) are a key framework for analysing a range of systems, from power plants to automobiles. One recent trend has been using this framework for security analysis. This article uses physics-based methods for distinguishing attacks from faults. We frame a CPS as a discrete-time linear system that can switch between various modes. By encoding faults and attacks each as speci c modes, we build CPS models that incorporate the impact of a range of types of fault and attack. We then use this CPS model to isolate (and distinguish between) a fault and an attack. We illustrate our approach on a hydraulic benchmark system.

Pages: 70 to 75

Copyright: Copyright (c) IARIA, 2017

Publication date: September 10, 2017

Published in: conference

ISSN: 2308-426X

ISBN: 978-1-61208-585-2

Location: Rome, Italy

Dates: from September 10, 2017 to September 14, 2017