A novel risk assessment and optimisation model for a multi-objective network security countermeasure selection problem
dc.contributor.author | Viduto, Valentina | en_GB |
dc.contributor.author | Maple, Carsten | en_GB |
dc.contributor.author | Huang, Wei | en_GB |
dc.contributor.author | López-Peréz, David | en_GB |
dc.date.accessioned | 2012-11-05T09:47:02Z | en |
dc.date.available | 2012-11-05T09:47:02Z | en |
dc.date.issued | 2012-06 | en |
dc.identifier.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):599-610 | en_GB |
dc.identifier.issn | 0167-9236 | en |
dc.identifier.doi | 10.1016/j.dss.2012.04.001 | en |
dc.identifier.uri | http://hdl.handle.net/10547/250940 | en |
dc.description.abstract | 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. | |
dc.language.iso | en | en |
dc.publisher | els | en_GB |
dc.relation.url | http://linkinghub.elsevier.com/retrieve/pii/S0167923612000978 | en_GB |
dc.subject | financial decision support | en_GB |
dc.subject | risk assessment | en_GB |
dc.subject | countermeasure selection problem | en_GB |
dc.subject | multi-objective optimisation | en_GB |
dc.subject | tabu search | en_GB |
dc.title | A novel risk assessment and optimisation model for a multi-objective network security countermeasure selection problem | en |
dc.type | Article | en |
dc.identifier.journal | Decision Support Systems | en_GB |
html.description.abstract | 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. |