Intelligent quality performance assessment for e-banking security using fuzzy logic

Aburrous, Maher, Hossain, Alamgir, Dahal, Keshav and Thabtah, Fadi (2008) Intelligent quality performance assessment for e-banking security using fuzzy logic. In: Proceedings of the Fifth International Conference on Information Technology: New Generations (itng 2008). IEEE Computer Society, Piscataway, NJ. ISBN 978-0769530994

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Abstract

Security has been widely recognized as one of the main obstacles to the adoption of Internet banking and it is considered an important aspect in the debate over challenges facing internet banking. The performance evaluation of e-banking websites requires a model that enables us to analyze the various imperative factors and criteria related to the quality and performance of e-banking websites. E-banking site evaluation is a complex and dynamic problem involving many factors, and because of the subjective considerations and the ambiguities involved in the assessment, Fuzzy Logic (FL) model can be an effective tool in assessing and evaluating of e-banking security performance and quality. In this paper, we propose an intelligent performance assessment model for evaluating e-banking security websites. The proposed model is based on FL operators and produces four measures of security risk attack dimensions: direct internal attack, communication tampering attack, code programming attack and denial of service attack with a hierarchical ring layer structure. Our experimental results show that direct internal attack risk has a large impact on e-banking security performance. The results also confirm that the risk of direct internal attack for e-banking dynamic websites is doubled that of all other attacks.

Item Type:	Book Section
Additional Information:	Presented at the Fifth International Conference on Information Technology: New Generations (itng 2008), April 7-9, 2008, Las Vegas, Nevada, USA
Uncontrolled Keywords:	Internet banking, e-banking security, e-banking site evaluation, fuzzy logic model, intelligent quality performance assessment
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Related URLs:	http://www.computer.org/csdl/proceedings...
Depositing User:	Sarah Howells
Date Deposited:	26 Oct 2012 10:31
Last Modified:	12 Oct 2019 22:29
URI:	http://nrl.northumbria.ac.uk/id/eprint/10033

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