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Modelling cost-effectiveness of defenses in industrial control systems

Fielder, Andrew, Li, Tingting ORCID: and Hankin, Chris 2016. Modelling cost-effectiveness of defenses in industrial control systems. Presented at: International Conference on Computer Safety, Reliability, and Security (SafeComp 2016), Trondheim, Norway, 20-23 September 2016. Published in: Skavhaug, Amund, Guiochet, Jérémie and Bitsch, Friedemann eds. Computer Safety, Reliability, and Security: 35th International Conference, SAFECOMP 2016, Trondheim, Norway, September 21-23, 2016, Proceedings. Lecture Notes in Computer Science series and Programming and Software Engineering series , vol.9922 Springer Verlag, pp. 187-200. 10.1007/978-3-319-45477-1_15

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Industrial Control Systems (ICS) play a critical role in controlling industrial processes. Wide use of modern IT technologies enables cyber attacks to disrupt the operation of ICS. Advanced Persistent Threats (APT) are the most threatening attacks to ICS due to their long persistence and destructive cyber-physical effects to ICS. This paper considers a simulation of attackers and defenders of an ICS, where the defender must consider the cost-effectiveness of implementing defensive measures within the system in order to create an optimal defense. The aim is to identify the appropriate deployment of a specific defensive strategy, such as defense-in-depth or critical component defense. The problem is represented as a strategic competitive optimisation problem, which is solved using a co-evolutionary particle swarm optimisation algorithm. Through the development of optimal defense strategy, it is possible to identify when each specific defensive strategies is most appropriate; where the optimal defensive strategy depends on the resources available and the relative effectiveness of those resources.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Publisher: Springer Verlag
ISBN: 9783319454764
Last Modified: 07 Nov 2022 10:03

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