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Conference Papers Year : 2020

Engaging Empirical Dynamic Modeling to Detect Intrusions in Cyber-Physical Systems

Abstract

Modern cyber-physical systems require effective intrusion detection systems to ensure adequate critical infrastructure protection. Developing an intrusion detection capability requires an understanding of the behavior of a cyber-physical system and causality of its components. Such an understanding enables the characterization of normal behavior and the identification and reporting of anomalous behavior.This chapter explores a relatively new time series analysis technique, empirical dynamic modeling, that can contribute to system understanding. Specifically, it examines if the technique can adequately describe causality in cyber-physical systems and provides insights into it serving as a foundation for intrusion detection.
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hal-03794637 , version 1 (03-10-2022)

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David Crow, Scott Graham, Brett Borghetti, Patrick Sweeney. Engaging Empirical Dynamic Modeling to Detect Intrusions in Cyber-Physical Systems. 14th International Conference on Critical Infrastructure Protection (ICCIP), Mar 2020, Arlington, VA, United States. pp.111-133, ⟨10.1007/978-3-030-62840-6_6⟩. ⟨hal-03794637⟩
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