UMP Institutional Repository

Security based Risk Management based on Multi-Objectives Model using QPSO

Noraziah, Ahmad and Sultan, Elrasheed Ismail and Faisal, Alamri and Awad, Gamal and Cheng, Jack Kie (2014) Security based Risk Management based on Multi-Objectives Model using QPSO. International Journal of Computer Applications in Technology. pp. 39-42. ISSN 0952-8091 (print); 1741-5047 (online)

[img]
Preview
PDF
mic1415.pdf - Published Version

Download (462kB) | Preview

Abstract

Nowadays the security risk management play a crucial role, which is applied to the entire life cycle of information systems and communication technologies but still so many models for security risk management are non-practical, therefore, it should be measured and improved. In this paper, a novel approach, in which Analytic Hierarchy Process (AHP) and Quantum Particles Swarm Optimization (QPSO) can be combined with some changes, is presented. The method consists of; firstly, the analytic hierarchy structure of the risk management is constructed and the method of QPSO comprehensive judgment is improved according to the actual condition of the information security. Secondly, the risk degree put forward is QPSO estimation of the risk probability, the risk impact severity and risk uncontrollability. Finally, it gives examples to prove that this method Multi Objectives Programming Methodology (MOPM) can be well applied to security risk management and provides reasonable data for constituting the risk control strategy of the information systems security. Based on the risk management results, the targeted safety measures are taken, and the risk is transferred and reduced, which is controlled within an acceptable range.

Item Type: Article
Additional Information: (MIC/Number 1 (ISBN: 973-93-80884-55-5))
Uncontrolled Keywords: Risk Management, Information Security, QPSO, Analytic Hierarchy Process, Multi-objectives Model
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: PM Dr. Noraziah Ahmad
Date Deposited: 18 Jun 2015 03:23
Last Modified: 02 Feb 2018 02:09
URI: http://umpir.ump.edu.my/id/eprint/9325
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item