Detecting cyber supply chain attacks on cyber physical systems using Bayesian belief network

Yeboah-Ofori, Abel ORCID: https://orcid.org/0000-0001-8055-9274, Islam, Shareeful and Brimicombe, Allan (2019) Detecting cyber supply chain attacks on cyber physical systems using Bayesian belief network. In: 2019 International Conference on Cyber Security and Internet of Things (ICSIoT), 29-31 May 2019, Accra, Ghana.

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Abstract

Identifying cyberattack vectors on cyber supply chains (CSC) in the event of cyberattacks are very important in mitigating cybercrimes effectively on Cyber Physical Systems CPS. However, in the cyber security domain, the invincibility nature of cybercrimes makes it difficult and challenging to predict the threat probability and impact of cyber attacks. Although cybercrime phenomenon, risks, and treats contain a lot of unpredictability's, uncertainties and fuzziness, cyberattack detection should be practical, methodical and reasonable to be implemented. We explore Bayesian Belief Networks (BBN) as knowledge representation in artificial intelligence to be able to be formally applied probabilistic inference in the cyber security domain. The aim of this paper is to use Bayesian Belief Networks to detect cyberattacks on CSC in the CPS domain. We model cyberattacks using DAG method to determine the attack propagation. Further, we use a smart grid case study to demonstrate the applicability of attack and the cascading effects. The results show that BBN could be adapted to determine uncertainties in the event of cyberattacks in the CSC domain.

Item Type: Conference or Workshop Item (Paper)
ISBN: 9781728174174
Identifier: 10.1109/ICSIoT47925.2019.00014
Page Range: pp. 37-42
Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: Cyber Physical System, Cyber Attacks, Cyber Supply Chain Threats, Bayesian Belief Network, Cybercrime
Subjects: Computing > Information security > Cyber security
Related URLs:
Depositing User: Dr Abel Yeboah-Ofori
Date Deposited: 24 Jun 2021 13:54
Last Modified: 28 Aug 2021 07:15
URI: http://repository.uwl.ac.uk/id/eprint/8027

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