Current Volume 9
A Secure Multi-Factor Authentication Framework for Digital Traffic Offense Management Systems
Abstract
Classic traffic law enforcement infrastructure in Nigeria is based primarily on single-factor authentication (SFA) strategies, exposing sensitive traffic violation records to data breaches, credential attacks, and tampering. In this work, a scalable Multi-Factor Authentication (MFA)-oriented architecture for enhancing the confidentiality, integrity, and availability of traffic violation databases is proposed and developed. Knowledge-based (password), possession-based (one-time passcode), and inherence-based (biometric) authentication levels are integrated in a distributed web application framework developed with Django, ReactJS, and PostgreSQL. Following the Design Science Research (DSR) paradigm, the artifact was developed, tested, and validated through functional, security, and scalability testing following OWASP and ISO/IEC 27001 standards. Experimental results showed 99.6% security effectiveness, 97.4% authentication accuracy, and 99.7% system availability under concurrent load conditions. The system was completely resistant to emulated cyberattacks in the form of brute-force, and SQL injection and maintained data consistency through replicated PostgreSQL clustering and tamper-proof auditing. Findings confirm that the integration of MFA and distributed architecture substantially improves data reliability, traceability, and user accountability in digital law enforcement systems. The study makes theoretical and practical contributions through the confirmation of MFA as an extensible and sustainable model for secure e-governance applications in developing economies.
Keywords
Database Security, Law Enforcement Systems, Multi-Factor Authentication, Scalability, Traffic Violation Records.
Citations
IRE Journals:
Batse E. Taji, Prof. D. Allenotor, Asheshemi Nelson O, Donald O. Orighomuya, Imuere Glory "A Secure Multi-Factor Authentication Framework for Digital Traffic Offense Management Systems" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 1318-1326 https://doi.org/10.64388/IREV9I11-1717539
IEEE:
Batse E. Taji, Prof. D. Allenotor, Asheshemi Nelson O, Donald O. Orighomuya, Imuere Glory
"A Secure Multi-Factor Authentication Framework for Digital Traffic Offense Management Systems" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1717539
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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