Abstract:
This study proposed a digital forensic framework of fraud investigation and prevention for
mobile financial services, a case of mobile money services in Uganda.
This study reviewed existing literature interviews, were carried and questionnaire distributed to
gain insight on how the current mobile financial services are managed and how security is
controlled. It was noticed that the detection and prevention of fraud in mobile financial services
was lacking and more was desired. Furthermore, the study employed the case study strategy that
was seeking to grasp the problem being investigated which provided the chance to ask
infiltrating questions. Having considered a case study strategy, mixed methods was adapted
whereby both quantitative and qualitative methods were adapted. This was though the use of
NVivo software to create clouds and relationships in the collected data. SPSS software was used
to carry out quantitative analysis. This method employed techniques like observations,
interviews, sound recording, and taking of notes amongst others. Furthermore, the study
employed design science. This focused on the development and performance of artifacts. This
framework was designed based on fraud management framework and integrated the use of Data
mining and machine learning techniques.
The results of assessing and testing usefulness of the proposed framework shows that the
framework can identify some necessary steps and information about fraud detection and
prevention so once implemented solutions can be achieved.
