Retracing the Flow of the Stream: Investigating Kodi Streaming Services

Samuel Todd Bromley, John Sheppard, Mark Scanlon, Nhien An Le-Khac

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Kodi is of one of the world’s largest open-source streaming platforms for viewing video content. Easily installed Kodi add-ons facilitate access to online pirated videos and streaming content by facilitating the user to search and view copyrighted videos with a basic level of technical knowledge. In some countries, there have been paid child sexual abuse organizations publishing/streaming child abuse material to an international paying clientele. Open source software used for viewing videos from the Internet, such as Kodi, is being exploited by criminals to conduct their activities. In this paper, we describe a new method to quickly locate Kodi artifacts and gather information for a successful prosecution. We also evaluate our approach on different platforms; Windows, Android and Linux. Our experiments show the file location, artifacts and a history of viewed content including their locations from the Internet. Our approach will serve as a resource to forensic investigators to examine Kodi or similar streaming platforms.

Original languageEnglish
Title of host publication11th EAI International Conference, ICDF2C 2020, Proceedings
EditorsSanjay Goel, Pavel Gladyshev, Daryl Johnson, Makan Pourzandi, Suryadipta Majumdar
Number of pages6
ISBN (Print)9783030687335
Publication statusPublished - 2021
Event11th EAI International Conference on Digital Forensics and Cyber Crime, ICDF2C 2020 - Boston, United States
Duration: 15 Oct 202016 Oct 2020

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X


Conference11th EAI International Conference on Digital Forensics and Cyber Crime, ICDF2C 2020
Country/TerritoryUnited States


  • Forensics
  • Kodi
  • Log file analysis
  • Video streaming


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