Research Area: Digital Forensics
Financial fraud cases are dangerously escalating. Industries and consumers are struggling to prevent being victims of fraud cases. Fraudsters typically aim to gain financial benefits from pulling fake documents or information to perceive as a legitimate beneficiary claimant. However, issue of tracking down fraudsters committed fraud through the Internet is increasingly challenging due to the advancement of computer technology nowadays. The lack of evidence traces and enormous data to be processed to filter out relevant evidence exhaust both time and manpower. Hence, based on the summary of other research work, criminal profiling and machine learning are proposed to be integrated into digital forensic to improve both speed and accuracy in investigation financial fraud cases.
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Author(s) Name: Pei-Shan Choong; Yusnita Yusof
Journal name:
Conferrence name: 14th International Conference on Developments in eSystems Engineering (DeSE)
Publisher name: IEEE
DOI: 10.1109/DeSE54285.2021.9719362
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