A novel risk assessment and optimisation model for a multi-objective network security countermeasure selection problem

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• 作者：Valentina Viduto^a ; ^{valentina.viduto@beds.ac.uk}  ; [Author Vitae] ; Carsten Maple^a ; ^{carsten.maple@beds.ac.uk}  ; [Author Vitae] ; Wei Huang^a ; ^{wei.huang@beds.ac.uk}  ; [Author Vitae] ; David Ló ; pez-Peré ; z^b ; ^{david.lopez@kcl.ac.uk}  ; [Author Vitae]
• 关键词：Financial decision support ; Risk assessment ; Countermeasure selection problem ; Multi-objective optimisation ; Tabu search
• 刊名：Decision Support Systems
• 出版年：2012
• 期刊代码：5_01679236
• 类别：dec
• 出版时间：June, 2012
• 卷：53
• 期：3
• 页码：599-610
• 文件大小：950 K

摘要

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.