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Two-Factor Authentication Scheme for Mobile Money: A Review of Threat Models and Countermeasures

Author

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  • Guma Ali

    (Department of Information Technology Development and Management (ITDM), Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha 447, Tanzania)

  • Mussa Ally Dida

    (Department of Information Technology Development and Management (ITDM), Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha 447, Tanzania)

  • Anael Elikana Sam

    (Department of Communication Science and Engineering (CoSE), Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha 447, Tanzania)

Abstract

The proliferation of digital financial innovations like mobile money has led to the rise in mobile subscriptions and transactions. It has also increased the security challenges associated with the current two-factor authentication (2FA) scheme for mobile money due to the high demand. This review paper aims to determine the threat models in the 2FA scheme for mobile money. It also intends to identify the countermeasures to overcome the threat models. A comprehensive literature search was conducted from the Google Scholar and other leading scientific databases such as IEEE Xplore, MDPI, Emerald Insight, Hindawi, ACM, Elsevier, Springer, and Specific and International Journals, where 97 papers were reviewed that focused on the topic. Descriptive research papers and studies related to the theme were selected. Three reviewers extracted information independently on authentication, mobile money system architecture, mobile money access, the authentication scheme for mobile money, various attacks on the mobile money system (MMS), threat models in the 2FA scheme for mobile money, and countermeasures. Through literature analysis, it was found that the threat models in the 2FA scheme for mobile money were categorised into five, namely, attacks against privacy, attacks against authentication, attacks against confidentiality, attacks against integrity, and attacks against availability. The countermeasures include use of cryptographic functions (e.g., asymmetric encryption function, symmetric encryption function, and hash function) and personal identification (e.g., number-based and biometric-based countermeasures). This review study reveals that the current 2FA scheme for mobile money has security gaps that need to be addressed since it only uses a personal identification number (PIN) and a subscriber identity module (SIM) to authenticate users, which are susceptible to attacks. This work, therefore, will help mobile money service providers (MMSPs), decision-makers, and governments that wish to improve their current 2FA scheme for mobile money.

Suggested Citation

  • Guma Ali & Mussa Ally Dida & Anael Elikana Sam, 2020. "Two-Factor Authentication Scheme for Mobile Money: A Review of Threat Models and Countermeasures," Future Internet, MDPI, vol. 12(10), pages 1-27, September.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:10:p:160-:d:418641
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    References listed on IDEAS

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    1. Frank Sylvio Gahapa Talom & Robertson Khan Tengeh, 2019. "The Impact of Mobile Money on the Financial Performance of the SMEs in Douala, Cameroon," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    2. Xin Luo & Richard Brody & Alessandro Seazzu & Stephen Burd, 2011. "Social Engineering: The Neglected Human Factor for Information Security Management," Information Resources Management Journal (IRMJ), IGI Global, vol. 24(3), pages 1-8, July.
    3. Muhai Li & Ming Li, 2010. "An Adaptive Approach for Defending against DDoS Attacks," Mathematical Problems in Engineering, Hindawi, vol. 2010, pages 1-15, June.
    4. Mohamed Amine Ferrag & Leandros Maglaras & Abdelouahid Derhab & Helge Janicke, 2020. "Authentication schemes for smart mobile devices: threat models, countermeasures, and open research issues," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 73(2), pages 317-348, February.
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    Cited by:

    1. Guma Ali & Mussa Ally Dida & Anael Elikana Sam, 2021. "A Secure and Efficient Multi-Factor Authentication Algorithm for Mobile Money Applications," Future Internet, MDPI, vol. 13(12), pages 1-31, November.

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