Search:
Computing and Library Services - delivering an inspiring information environment

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

Viduto, Valentina, Maple, Carsten, Huang, Wei and Lopez-Perez, David (2012) A novel risk assessment and optimisation model for a multi-objective network security countermeasure selection problem. Decision Support Systems, 53 (3). pp. 599-610. ISSN 0167-9236

[img]
Preview
PDF - Submitted Version
Download (505kB) | Preview

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.

Item Type: Article
Subjects: T Technology > T Technology (General)
Schools: School of Computing and Engineering
Related URLs:
Depositing User: Valentina Viduto
Date Deposited: 16 Dec 2014 16:55
Last Modified: 30 Nov 2016 17:19
URI: http://eprints.hud.ac.uk/id/eprint/22825

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©