A novel risk assessment and optimisation model for a multi-objective network security countermeasure selection problem
Subjectsfinancial decision support
countermeasure selection problem
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AbstractBudget 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.
CitationViduto, 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):599-610
JournalDecision Support Systems