Assessing the Attacks Against the Online Authentication Methods Using a Comparison Matrix: A Case of Online Banking
Document Type
Conference Proceeding
Source of Publication
2022 International Conference on Computational Science and Computational Intelligence (CSCI)
Publication Date
12-16-2022
Abstract
This paper aims to examine commonly existing online authentication methods, review the current authentication threats and attacks against these methods, and discuss and analyze the methods used in banks operating in several countries. The paper established a new comparison matrix with 11 characteristics of authentication methods. The discussion and analysis section are based on the data collected by sending a questionnaire to more than 25 people in several countries. The data is captured through observation while navigating the targeted banks' internet banking services from the user's perspective who has the privilege (credentials) to access banks' online services. A total of 16 international banks were analyzed in this research. This research shows that authentication methods such as security questions, smart cards, PINs, and virtual keyboards will provide strong authentication to protect customers' data confidentiality and integrity. The results contribute to the practice by confirming the importance of having strong authentication methods to protect the confidentiality and integrity of the customer's data. The particularity of our study helps to identify the common authentication methods used in banks operating in different countries.
DOI Link
ISBN
979-8-3503-2028-2
Publisher
IEEE
Volume
00
First Page
1039
Last Page
1046
Disciplines
Computer Sciences
Recommended Citation
Majdalawieh, Munir; Bani-Hani, Anoud; Hussain, Mohammed; and Alshamsi, Aisha, "Assessing the Attacks Against the Online Authentication Methods Using a Comparison Matrix: A Case of Online Banking" (2022). All Works. 6076.
https://zuscholars.zu.ac.ae/works/6076
Indexed in Scopus
no
Open Access
no