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Forensic Taxonomy of Android Social Apps.

Abdullah Azfar1, Kim-Kwang Raymond Choo1,2, Lin Liu3

  • 1Information Assurance Research Group, University of South Australia, Adelaide, SA, 5095, Australia.

Journal of Forensic Sciences
|November 29, 2016
PubMed
Summary

This study introduces a new taxonomy for Android social apps, aiding forensic investigators in identifying personally identifiable information (PII). It details recovered forensic artifacts, enhancing digital evidence analysis for social media apps.

Keywords:
digital forensicsforensic scienceforensic taxonomymobile app forensicsmobile forensicssocial app taxonomy

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Area of Science:

  • Digital Forensics
  • Mobile Computing
  • Information Security

Background:

  • Android social apps store significant personally identifiable information (PII).
  • Existing forensic taxonomies may not adequately cover the nuances of social media applications.
  • Effective digital forensics requires structured approaches to data recovery from mobile devices.

Purpose of the Study:

  • To develop a comprehensive taxonomy of forensic artifacts specific to Android social applications.
  • To identify and categorize PII and other forensically relevant data within popular social apps.
  • To aid forensic investigators in the efficient collection and analysis of digital evidence from Android devices.

Main Methods:

  • Examination of 30 popular Android social applications.
  • Recovery of forensic artifacts, including contact lists, message chronologies, and timestamps.
  • Identification of images and Facebook token strings for user authentication and data access.

Main Results:

  • A two-dimensional taxonomy of forensic artifacts for Android social apps was proposed.
  • Key artifacts like contact details, message histories, and access tokens were successfully identified.
  • The study demonstrated the feasibility of recovering PII and other evidentiary data.

Conclusions:

  • The proposed taxonomy enhances the systematic identification of forensically relevant data in Android social apps.
  • This framework supports more effective digital evidence collection and analysis for investigators.
  • The findings contribute to advancing mobile device forensics, particularly for social media platforms.