Digital and Cyber Forensics
Peer reviewed
Abstract
Abstract
The dissemination of pornographic content through instant messaging applications such as WhatsApp is becoming increasingly widespread. A major obstacle to establishing legal proof in these cases is that perpetrators frequently use the "Delete for Everyone" feature to eliminate digital evidence. This study aims to apply the National Institute of Standards and Technology (NIST) method to obtain digital artifacts from messages deleted on the perpetrator's device. A simulated scenario was conducted between the victim's device (Xiaomi Redmi 10C) and the perpetrator's device (a rooted Xiaomi Redmi S2). The investigation used MOBILedit Forensic Express for physical acquisition and Belkasoft Evidence Center for data analysis. The results show that the NIST framework successfully overcame anti-forensic obstacles. The recovered digital evidence included metadata from 3 deleted text messages with logical deletion status, 3 image files containing pornographic content (.tmp/.jpeg), and 2 video files (.mp4). Cross-validation between fragments from the perpetrator's msgstore.db database and the victim's screenshots demonstrates that this method can produce legally valid and compelling electronic evidence for court proceedings.
Direct answer
What can I do from this paper page?
Use this page to scan "Digital Forensic Analysis of a Case of Pornographic Content Dissemination on WhatsApp Using the National Institute of Standards and Technology (NIST) Method" quickly: start with the summary and abstract, then check the authors, source, topics, and related papers. From here, open Scollr to follow Digital and Cyber Forensics research, save the paper, or map adjacent work.
Research areas
Follow related topics
Citation
BibTeX
@article{Islam2026Digital,
title = {Digital Forensic Analysis of a Case of Pornographic Content Dissemination on WhatsApp Using the National Institute of Standards and Technology (NIST) Method},
author = {A. Abdi Fahrul Islam and Muh Ichlasul Amal Syam and Ramdan Satra and Erick Irawadi Alwi},
journal = {Indonesian Journal of Networking and Internet of Things},
year = {2026},
doi = {10.56705/ijonit.v2i2.407},
url = {https://jurnal.yoctobrain.org/index.php/ijonit/article/view/407}
}FAQ
Using this paper in a discovery workflow
How do I find related work for this paper?
Use the related papers and topic links on this page as starting points. In Scollr, you can also open the paper and build a literature map around its references, citing papers, and related work.
How can I keep up with new Digital and Cyber Forensics research papers?
Follow Digital and Cyber Forensics research in Scollr. New papers from the topic flow into a personalized feed, and you can save useful studies to revisit later.
Can I cite this paper from this page?
This page includes a static BibTeX block for Digital Forensic Analysis of a Case of Pornographic Content Dissemination on WhatsApp Using the National Institute of Standards and Technology (NIST) Method. Always verify the DOI, source, and publication details against the publisher record before submitting a manuscript.
Follow this research in Scollr
Follow the topics and authors behind this paper, save useful studies, and build a literature map when you are ready to go deeper.
Get the app