EFFECT OF FORENSIC ACCOUNTING TECHNIQUES ON CYBERCRIME DETECTION AMONG LISTED DEPOSIT MONEY BANKS IN NIGERIA
Sr No:
Page No:
54-65
Language:
English
Authors:
Blessing Ejura Success*, Success Jibrin Musa, Ibrahim Karimu Moses
Received:
2025-03-03
Accepted:
2025-03-20
Published Date:
2025-03-23
Abstract:
Cybercrime has become a growing concern in Nigeria’s banking sector, with
increasing incidents of phishing, data breaches, and online fraud threatening financial stability
and customer trust. As banks digitize operations, the need for robust detection mechanisms
becomes more urgent. Forensic accounting techniques such as Computer-Assisted Audit Tools
(CAATs), digital forensics, and structured forensic investigation procedures have emerged as
valuable tools in combating these evolving threats. The main objective of this study is to
examine the effect of forensic accounting techniques on cybercrime detection among listed
deposit money banks in Nigeria. Specifically, it investigates the roles of CAATs, digital
forensic tools, and forensic investigation methods in curbing cyber-related financial crimes. The
study adopts a survey research design. Primary data were collected from staff and management
of ten purposively selected listed banks using structured questionnaires. The data were analyzed
using both descriptive statistics and inferential methods, including correlation and regression
analysis. Findings reveal that all three forensic accounting techniques have significant positive
effects on cybercrime detection, with digital forensic tools having the strongest impact. The
results confirm that forensic accounting enhances cybercrime prevention through proactive
detection, evidence gathering, and system monitoring. Based on these findings, the study
recommends that banks invest in advanced digital forensic infrastructure, strengthen cybercrime
tracking systems, and institutionalize internal forensic investigation protocols. These efforts will
help reduce cyber-related risks and improve the resilience of Nigeria’s financial system.
Keywords:
Forensic Accounting Techniques, Cybercrime Detection.