Soft systems methodology in net-centric cyber defence system development

Craig, Richard, Spyridopoulos, Theodoros ORCID: https://orcid.org/0000-0001-7575-9909, Tryfonas, Theo and May, John 2014. Soft systems methodology in net-centric cyber defence system development. Presented at: IEEE International Conference on Systems, Man, and Cybernetics (SMC)MPORTED, MAY BE LINKED, San Diego, CA, USA, 05-08 October 2014. 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, pp. 672-677. 10.1109/SMC.2014.6973986

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Abstract

Complexity is ever increasing within our information environment and organisations, as interdependent dynamic relationships within sociotechnical systems result in high variety and uncertainty from a lack of information or control. A net-centric approach is a strategy to improve information value, to enable stakeholders to extend their reach to additional data sources, share Situational Awareness (SA), synchronise effort and optimise resource use to deliver maximum (or proportionate) effect in support of goals. This paper takes a systems perspective to understand the dynamics within a net-centric information system. This paper presents the first stages of the Soft Systems Methodology (SSM), to develop a conceptual model of the human activity system and develop a system dynamics model to represent system behaviour, that will inform future research into a net-centric approach with information security. Our model supports the net-centric hypothesis that participation within a information sharing community extends information reach, improves organisation SA allowing proactive action to mitigate vulnerabilities and reduce overall risk within the community. The system dynamics model provides organisations with tools to better understand the value of a net-centric approach, a framework to determine their own maturity and evaluate strategic relationships with collaborative communities.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	IEEE
ISBN:	978-1-4799-3840-7
ISSN:	1062-922X
Last Modified:	30 Jan 2023 10:09
URI:	https://orca.cardiff.ac.uk/id/eprint/153610

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