Mobile forensics has become an increasingly prevalent branch of forensic science since the early 2000s as smartphone capabilities have advanced and begun to store a gold mine of user information. This collected data can be extracted and analyzed using forensic tools to tell a story about the user. In this paper, a proof-of-concept tool is developed to show what can be found through analysis of data found solely on a user’s mobile device. Phone data obtained from a Cellebrite advanced logical extraction is uploaded to Physical Analyzer to generate HTML reports for the device. These reports are then uploaded to a dashboard that populates to display personal and demographic information (such as name, age, and city of residence), as well as a few usage statistics selected from collected user stories. The dashboard’s accuracy was tested using extracted cell phone data from eight volunteers and the user interface was analyzed by students taking UNCW’s digital forensics class.

Recommended Citation: Balint K., Vetter R., Stoker G., Cummings J., (2023). Mobile Forensics: Generating a User Dashboard from Extracted Cell Phone Data. UNCW MS CSIS Proceedings. V. 17 , N. 4 .