Abstract

With the expansion of smartphone and financial technologies (FinTech), mobile money emerged to improve financial inclusion in many developing nations. The majority of the mobile money schemes used in these nations implement two-factor authentication (2FA) as the only means of verifying mobile money users. These 2FA schemes are vulnerable to numerous security attacks because they only use a personal identification number (PIN) and subscriber identity module (SIM). This study aims to develop a secure and efficient multi-factor authentication algorithm for mobile money applications. It uses a novel approach combining PIN, a one-time password (OTP), and a biometric fingerprint to enforce extra security during mobile money authentication. It also uses a biometric fingerprint and quick response (QR) code to confirm mobile money withdrawal. The security of the PIN and OTP is enforced by using secure hashing algorithm-256 (SHA-256), a biometric fingerprint by Fast IDentity Online (FIDO) that uses a standard public key cryptography technique (RSA), and Fernet encryption to secure a QR code and the records in the databases. The evolutionary prototyping model was adopted when developing the native mobile money application prototypes to prove that the algorithm is feasible and provides a higher degree of security. The developed applications were tested, and a detailed security analysis was conducted. The results show that the proposed algorithm is secure, efficient, and highly effective against the various threat models. It also offers secure and efficient authentication and ensures data confidentiality, integrity, non-repudiation, user anonymity, and privacy. The performance analysis indicates that it achieves better overall performance compared with the existing mobile money systems.

Highlights

  • The advent and expansion of financial technologies (FinTech) coupled with the availability of affordable highspeed internet and widespread usage of the latest smartphones have revolutionized the financial service industry

  • This study aims to develop a secure and efficient multi-factor authentication algorithm for mobile money applications where subscribers will be authenticated using a personal identification number (PIN), one-time password (OTP), and biometric fingerprint

  • We present the different ways of securing user authentication credentials such as PIN and OTP using secure hashing algorithm-256 (SHA-256), biometric fingerprint by Fast IDentity Online (FIDO) services that use the public-key cryptography technique (RSA), and a quick response (QR) code and records in the databases by Fernet encryption

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Summary

Introduction

The advent and expansion of FinTech coupled with the availability of affordable highspeed internet and widespread usage of the latest smartphones have revolutionized the financial service industry. This study aims to develop a secure and efficient multi-factor authentication algorithm for mobile money applications where subscribers will be authenticated using a PIN, OTP, and biometric fingerprint. It uses a fingerprint and QR code to confirm money withdrawal. The existing proposed algorithms, though promising, are vulnerable to several security attacks None of those studies mentioned above implemented combining PIN, OTP, and biometric fingerprint for mobile money authentication where. We propose a secure and efficient multi-factor authentication algorithm for mobile money applications where PIN, OTP, and biometric fingerprints authenticate users.

Related Work
Studies Related to Mobile Money Systems
Problem Statement
Technologies
Proposed Algorithm
System Implementation
Software Development Tools
Implementation of the G-MoMo Applications Prototypes
Security Analysis
Performance Analysis
Communication Overhead
Computational Cost
Performance Comparisons
Conclusions

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