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

Authors

David R. Crow, Air Force Institute of Technology
Scott R. Graham, Air Force Institute of TechnologyFollow
Brett J. Borghetti, Air Force Institute of TechnologyFollow
Patrick J. Sweeney, Air Force Institute of Technology

Document Type

Conference Proceeding

Publication Date

12-2020

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.

Comments

AFIT Scholar furnishes the accepted manuscript of this conference paper, as found at the HAL citation on this page.

The manuscript of this work is open access under a Creative Commons Attribution License. CC BY 4.0 International.

The published version of record for this conference paper is available by subscription at Springer, using the DOI link.

Copyright statement for the version of record, hosted at Springer: © IFIP International Federation for Information Processing 2020.

DOI

10.1007/978-3-030-62840-6_6 HAL:hal-03794637

Source Publication

14th International Conference on Critical Infrastructure Protection (ICCIP)

Recommended Citation

Version of record cited as:

Crow, D., Graham, S., Borghetti, B., Sweeney, P. (2020). Engaging Empirical Dynamic Modeling to Detect Intrusions in Cyber-Physical Systems. In: Staggs, J., Shenoi, S. (eds) Critical Infrastructure Protection XIV. ICCIP 2020. IFIP Advances in Information and Communication Technology, vol 596. Springer, Cham. https://doi.org/10.1007/978-3-030-62840-6_6

HAL Open Science Repository manuscript version cited as:

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⟩