A novel risk assessment and optimisation model for a multi-objective network security countermeasure selection problem
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Issue Date
2012-06Subjects
financial decision supportrisk assessment
countermeasure selection problem
multi-objective optimisation
tabu search
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Budget cuts and the high demand in strengthening the security of computer systems and services constitute a challenge. Poor system knowledge and inappropriate selection of security measures may lead to unexpected financial and data losses. This paper proposes a novel Risk Assessment and Optimisation Model (RAOM) to solve a security countermeasure selection problem, where variables such as financial cost and risk may affect a final decision. A Multi-Objective Tabu Search (MOTS) algorithm has been developed to construct an efficient frontier of non-dominated solutions, which can satisfy organisational security needs in a cost-effective manner.Citation
Viduto, V. et al (2012) 'A novel risk assessment and optimisation model for a multi-objective network security countermeasure selection problem' Decision Support Systems 53 (3):599-610Publisher
elsJournal
Decision Support SystemsAdditional Links
http://linkinghub.elsevier.com/retrieve/pii/S0167923612000978Type
ArticleLanguage
enISSN
0167-9236ae974a485f413a2113503eed53cd6c53
10.1016/j.dss.2012.04.001