Achieving Cyber-Informed Engineering Through Bayesian Belief Network and Sensitivity Analysis

Chidi Agbo, Hoda Mehrpouyan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The security of critical infrastructures is a challenge facing nations and states today as a result of the increased complexity and interconnectivity of these systems and their control from remote locations. Ensuring the security of critical systems requires engineering cybersecurity-related risks that attackers can exploit to cause severe consequences, such as equipment damage, environmental/water pollution, monetary loss, or even loss of life. It is important to identify and prioritize actions or attacks that can lead to high-consequence events (HCEs) capable of crippling critical functions of any organization. In this work, we proposed a new approach to cybersecurity risk assessment by proposing the Consequence-Driven Cyber-Informed Engineering (CCE) approach and the Bayesian Belief Network (BBN) with Sensitivity Analysis (SA). For proof of concept, we tested the proposed approach at the Tennessee Eastman chemical plant and were able to uncover and prioritize ripple effects caused by disturbance or noise-induced attacks on critical infrastructure.

Original languageEnglish
Title of host publicationProceedings - 2023 10th International Conference on Dependable Systems and Their Applications, DSA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages260-271
Number of pages12
ISBN (Electronic)9798350304770
DOIs
StatePublished - 2023
Event10th International Conference on Dependable Systems and Their Applications, DSA 2023 - Tokyo, Japan
Duration: 10 Aug 202311 Aug 2023

Publication series

NameProceedings - 2023 10th International Conference on Dependable Systems and Their Applications, DSA 2023

Conference

Conference10th International Conference on Dependable Systems and Their Applications, DSA 2023
Country/TerritoryJapan
CityTokyo
Period10/08/2311/08/23

Keywords

  • Bayesian belief network
  • Critical infrastructures security
  • cyber-informed engineering
  • cybersecurity risk assessment
  • High-consequence events
  • Sensitivity analysis

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