Hurst, W, Shone, N, Shi, Q and Bazli, B (2017) Micro-CI: A Model Critical Infrastructure Testbed for Cyber-Security Training and Research. International Journal On Advances in Security, 10 (1&2). pp. 114-125. ISSN 1942-2636

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Abstract

Critical infrastructures encompass various sectors, such as energy resources and manufacturing, which tend to be dispersed over large geographic areas. With recent technological advancements over the last decade, they have developed to be dependent on Information and Communication Technology (ICT); where control systems and the use of sensor equipment facilitate operation. However, the persistently evolving global state of ICT has resulted in the emergence of sophisticated cyber-threats. As dependence upon critical infrastructure systems continues to increase, so too does the urgency with which these systems need to be adequately protected. Modelling and testbed development are now crucial for the study and analysis of security within critical infrastructures; particularly as testing within a live system can have far-reaching impacts, including potential loss of life. Existing testbed approaches are not replicable or involve the use of simulation, which impacts upon the realism of the datasets constructed. As such, the research presented in this paper discusses the novel development of a replicable and affordable critical infrastructure testbed for cyber-security training and research. The testbed can be used to anticipate cyber-security incidents and assist in the development of new and innovative cyber-security methods. The access to real-world data for training, research and testing new design methodologies is a challenge for security researchers; as such, the aim of this project is to provide an original methodology for the construction of accessible data for cyber-security research. The testbed data is evaluated through a comparison with a simulation comprised of the same components.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Computer Science & Mathematics
Publisher:	IARIA
Date Deposited:	08 May 2017 11:05
Last Modified:	04 Sep 2021 11:38
URI:	https://researchonline.ljmu.ac.uk/id/eprint/6372

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