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A Survey on Multi-Factor Authentication Methods for Mobile Devices

Author:

Stephen MujeyeAuthors Info & Claims

ICSIM '21: Proceedings of the 2021 4th International Conference on Software Engineering and Information Management

Pages 199 - 205

https://doi.org/10.1145/3451471.3451503

Published: 13 July 2021 Publication History

Abstract

The use of mobile devices worldwide has been on the increase. More and more people are using mobile devices to carry out activities on the Internet. The activities include checking emails, online banking, school, and work activities. However, mobile devices are susceptible to security risks and attacks. In this study, a survey was administered to 74 participants. The participants were asked whether they have multi-factor authentication on their mobile devices and if this feature is configured. Participants were also asked about how they use their mobile devices, how often they change their passwords, as well as their perception about the importance of mobile device security. The data collected from the participants was analyzed and results indicated that many participants strongly believe that mobile device security is important. Most of the participants use their mobile devices to check emails, conduct work activities, and online banking among other tasks. The results also indicate that nearly half of those who have devices that support multi-factor authentication do not use it. Furthermore, the results also show that nearly half of the participants have never changed the passwords on their mobile devices. The results may help organizations to educate people and raise the awareness of mobile device security. The results may also help with policy making.

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Cited By

Kolupuri SPaul ABhowmick RGanguli I(2025)Scams and Frauds in the Digital Age: ML-Based Detection and Prevention StrategiesProceedings of the 26th International Conference on Distributed Computing and Networking10.1145/3700838.3703672(340-345)Online publication date: 4-Jan-2025
https://dl.acm.org/doi/10.1145/3700838.3703672
Han J(2024)CNN-Based Multi-Factor Authentication System for Mobile Devices Using Faces and PasswordsApplied Sciences10.3390/app1412501914:12(5019)Online publication date: 8-Jun-2024
https://doi.org/10.3390/app14125019
Krishnan VSreeja CBinu SMisbahuddin M(2022)A JSON Web Signature Based Adaptive Authentication Modality for Healthcare Applications2022 IEEE International Conference on Public Key Infrastructure and its Applications (PKIA)10.1109/PKIA56009.2022.9952258(1-8)Online publication date: 9-Sep-2022
https://doi.org/10.1109/PKIA56009.2022.9952258

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ICSIM '21: Proceedings of the 2021 4th International Conference on Software Engineering and Information Management

January 2021

251 pages

ISBN:9781450388955

DOI:10.1145/3451471

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 July 2021

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ICSIM 2021

ICSIM 2021: 2021 The 4th International Conference on Software Engineering and Information Management

January 16 - 18, 2021

Yokohama, Japan

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Cited By

Kolupuri SPaul ABhowmick RGanguli I(2025)Scams and Frauds in the Digital Age: ML-Based Detection and Prevention StrategiesProceedings of the 26th International Conference on Distributed Computing and Networking10.1145/3700838.3703672(340-345)Online publication date: 4-Jan-2025
https://dl.acm.org/doi/10.1145/3700838.3703672
Han J(2024)CNN-Based Multi-Factor Authentication System for Mobile Devices Using Faces and PasswordsApplied Sciences10.3390/app1412501914:12(5019)Online publication date: 8-Jun-2024
https://doi.org/10.3390/app14125019
Krishnan VSreeja CBinu SMisbahuddin M(2022)A JSON Web Signature Based Adaptive Authentication Modality for Healthcare Applications2022 IEEE International Conference on Public Key Infrastructure and its Applications (PKIA)10.1109/PKIA56009.2022.9952258(1-8)Online publication date: 9-Sep-2022
https://doi.org/10.1109/PKIA56009.2022.9952258

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