Challenges of Data Extraction from Facebook & WhatsApp Applications

Authors

  • Imran Manzoor Department of Computer Science and IT, Superior University Lahore, 54000, Pakistan.
  • Rizwan Ghani Department of Computer Science and IT, Superior University Lahore, 54000, Pakistan.
  • Khalid Hamid Faculty of Computer Science and IT, Superior University Lahore, 54000, Pakistan.

Keywords:

Digital Forensics, Social media, Data Extraction, End-to-End Encryption, Legal and Privacy Issues, Criminal Investigations

Abstract

The increasing reliance on social media platforms like Facebook and WhatsApp in both personal and criminal activities presents critical challenges for digital forensic investigators. This research addresses the problem of data extraction from these applications due to factors such as end-to-end encryption, proprietary data structures, frequent app updates, and legal/privacy restrictions. our goal is to identify the key technical, legal, and procedural obstacles involved in extracting and analyzing data from Facebook and WhatsApp and to propose effective methodologies to overcome them. A qualitative research methodology will be employed, incorporating case study analysis of criminal investigations, forensic tool evaluations, and expert insights from digital forensic professionals. The expected results include a classification of the primary extraction challenges, a comparative analysis of current forensic tools, and recommendations for best practices in handling such data. The significance of this study lies in its potential to enhance the effectiveness of digital investigations, contribute to the development of more efficient forensic tools, and inform law enforcement agencies and policymakers about the limitations and possibilities in social media data extraction.

Downloads

Published

2025-08-20

How to Cite

Imran Manzoor, Rizwan Ghani, & Khalid Hamid. (2025). Challenges of Data Extraction from Facebook & WhatsApp Applications. Journal of Computing & Biomedical Informatics. Retrieved from https://jcbi.org/index.php/Main/article/view/1050

Issue

Section

Articles