Citation

Mahmood Saqib, Rashad and Shahid Khan, Adnan and Javed, Yasir and Ahmad, Shakil and Nisar, Kashif and A. Abbasi, Irshad and Haque, Muhammad Reazul and Ahmadi Julaihi, Azlina (2022) Analysis and Intellectual Structure of the Multi-Factor Authentication in Information Security. Intelligent Automation & Soft Computing, 32 (3). pp. 1633-1647. ISSN 1079-8587; eISSN: 2326-005X

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Abstract

This study presents the current state of research on multi-factor authentication. Authentication is one of the important traits in the security domain as it ensures that legitimate users have access to the secure resource. Attacks on authentication occur even before digital access is given, but it becomes quite challenging with remote access to secure resources. With increasing threats to single authentication schemes, 2Factor and later multi-factor authentication approaches came into practice. Several studies have been done in the multi-factor authentication discipline, and most of them proposed the best possible approaches, but there are very limited studies in the area that can comprehend all these innovative and effective approaches. Using Web of Science data of the research publications on the topic, the study adopted the bibliometric approach to find the evolution of authentication in the security domain, especially multi-factor authentication. This study finds the impact of the research in the selected domain using bibliometric analysis. This research also identifies the key research trends that most of the researchers are paying attention to. The highest number of publications on multi-factor authentication were published in 2019 while the highest number of citations were received in 2014. United States, India, and China are the leading countries publishing the most on multi-factor authentication.

Item Type:	Article
Uncontrolled Keywords:	Information security, multi-factor authentication, bibliometrics, scient metrics, authentication
Subjects:	Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	03 Feb 2022 02:22
Last Modified:	03 Feb 2022 02:22
URII:	http://shdl.mmu.edu.my/id/eprint/9943

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