Skip to search boxSkip to navigationSkip to main content

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

  • Valentina Viduto
    ,
  • Carsten Maple
    ,
  • Wei Huang
    ,
  • David López-Peréz
  • University of Bedfordshire
    ,
  • King's College London
Research Output: Contribution to journal Article Peer-review

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.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 599-610 (12 pages)

Journal (Volume, Issue Number)

Decision Support Systems (Volume 53, Issue 3)

Publication milestones

  • Published - 01/06/2012

Publication status

Published - 01/06/2012

ISSN

0167-9236

External Publication IDs

  • handle.net: 10547/250940
  • Scopus: 84862573944

Access to documents

Publication metrics

PlumX, opens in new tab

Mentions
1
106
Captures
96