Forensic Analysis Model on Fintech E-Wallet Using Digital Evidence Generalization

Fintech is a service currently in great demand by the broader community in Indonesia. One fintech service that is currently widely used is Electronic Wallet (E-Walet). Apart from these available services, some parties commit criminal acts for personal gain. This needs the support of digital evidence obtained from acquisition results to inform analysis results in digital forensics. A forensic analysis model is required to support the analysis process of fintech services, which have varying characteristics across applications. This research analyses data and features in each fintech application and uses the Resource Description Framework ontology to help manage appropriate digital evidence in fintech applications. This model focuses on User, Transaction, and Merchant entities. This research can provide information about an incident involving a fintech e-wallet application and to what extent the data acquired can help by classification and analysis by generalizing digital evidence. This data that has been successfully acquired is grouped in a more general form to facilitate an understanding of what data plays an essential role in digital forensic activities and how an investigative question can be answered based on this data. The generalization of this data will be shown in model visualization to inform if the data is available and the known relationships between the data. The research contributes to digital forensics by providing a structured approach to analyzing fintech data. It offers insights into the future direction of data analysis in this domain.