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Decision support approaches for cyber security investment

Decision support approaches for cyber security investment

Fielder, Andrew, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062, Malacaria, Pasquale, Hankin, Chris and Smeraldi, Fabrizio (2016) Decision support approaches for cyber security investment. Decision Support Systems, 86. pp. 13-23. ISSN 0167-9236 (doi:https://doi.org/10.1016/j.dss.2016.02.012)

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Abstract

When investing in cyber security resources, information security managers have to follow effective decisionmaking strategies. We refer to this as the cyber security investment challenge.In this paper, we consider three possible decision support methodologies for security managers to tackle this challenge. We consider methods based on game theory, combinatorial optimisation, and a hybrid of the two. Our modelling starts by building a framework where we can investigate the effectiveness of a cyber security control regarding the protection of different assets seen as targets in presence of commodity threats. As game theory captures the interaction between the endogenous organisation’s and attackers’ decisions, we consider a 2-person control game between the security manager who has to choose among different implementation levels of a cyber security control, and a commodity attacker who chooses among different targets to attack. The pure game theoretical methodology consists of a large game including all controls and all threats. In the hybrid methodology the game solutions of individual control-games along with their direct costs (e.g. financial) are combined with a Knapsack algorithm to derive an optimal investment strategy. The combinatorial optimisation technique consists of a multi-objective multiple choice Knapsack based strategy. To compare these approaches we built a decision support tool and a case study regarding current government guidelines. The endeavour of this work is to highlight the weaknesses and strengths of different investment methodologies for cyber security, the benefit of their interaction, and the impact that indirect costs have on cyber security investment. Going a step further in validating our work, we have shown that our decision support tool provides the same advice with the one advocated by the UK government with regard to the requirements for basic technical protection from cyber attacks in SMEs.

Item Type: Article
Uncontrolled Keywords: decision support systems, security economics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Department of Computing & Information Systems
Faculty of Liberal Arts & Sciences > Internet of Things and Security (ISEC)
Last Modified: 13 Apr 2020 16:08
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 1
Selected for REF2021: REF 2
URI: http://gala.gre.ac.uk/id/eprint/24376

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