An information system risk assessment model: a case study in online banking system Online publication date: Tue, 19-Dec-2017
by Sajjad Shokouhyar; Farhad Panahifar; Azadeh Karimisefat; Maryam Nezafatbakhsh
International Journal of Electronic Security and Digital Forensics (IJESDF), Vol. 10, No. 1, 2018
Abstract: Today, almost all bank affairs are automatic and all transactions, processing and money transfers are performed by applying information systems technologies. Moreover, to codify the strategies and making management decisions more effectively, banks rely on electronic information systems. The remarkable point is the security and the security risk management of information systems which the traditional point of view would not overcome its future challenge. This paper identified the relevant elements to the security risks of informational electronic banking systems based on previous research studies. The final weight of all elements was then determined by fuzzy analytic hierarchy process and Chung weighing method. After that, the final weights of all elements in three case studies from banking section have been calculated. Ultimately, elements securities of those banks were clarified by using Jaeger fuzzy classification. The results indicated that the vulnerability element has the most weight.
Online publication date: Tue, 19-Dec-2017
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Electronic Security and Digital Forensics (IJESDF):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com