|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 187 - Issue 133 |
| Published: August 2026 |
| Authors: Fadhilah Widya Putra Mahardika, Imam Riadi |
10.5120/ijca93e41c2d15b9
|
Fadhilah Widya Putra Mahardika, Imam Riadi . Forensic Multimedia Analysis in Film Piracy Cases using National Institute of Justice Method. International Journal of Computer Applications. 187, 133 (August 2026), 40-47. DOI=10.5120/ijca93e41c2d15b9
@article{ 10.5120/ijca93e41c2d15b9,
author = { Fadhilah Widya Putra Mahardika,Imam Riadi },
title = { Forensic Multimedia Analysis in Film Piracy Cases using National Institute of Justice Method },
journal = { International Journal of Computer Applications },
year = { 2026 },
volume = { 187 },
number = { 133 },
pages = { 40-47 },
doi = { 10.5120/ijca93e41c2d15b9 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2026
%A Fadhilah Widya Putra Mahardika
%A Imam Riadi
%T Forensic Multimedia Analysis in Film Piracy Cases using National Institute of Justice Method%T
%J International Journal of Computer Applications
%V 187
%N 133
%P 40-47
%R 10.5120/ijca93e41c2d15b9
%I Foundation of Computer Science (FCS), NY, USA
The development of digital technology has facilitated the distribution and access to film content, but it has also increased the risk of piracy and illegal modifications that harm the film industry and copyright holders. This research aims to obtain digital evidence and prove the existence of changes in video files in a film piracy scenario using a multimedia forensics approach. The research was conducted through a case simulation with a scenario where the perpetrator modified the film by adding a watermark and subtitles before distributing the modified file. The investigation process uses the National Institute of Justice (NIJ) method, which includes the stages of identification, collection, examination, analysis, and reporting. The tools used include FTK Imager, ExifTool, HashMyFiles, FFmpeg, as well as Python with the OpenCV and Matplotlib libraries. The research results show that the investigation process successfully obtained digital evidence in the form of video files and supporting artifacts for the modification process, totaling 17 files. Metadata analysis and hash value comparison show differences between the original video and the copied video. Additionally, frame analysis of the video using difference image and thresholding successfully identified local tampering in the form of added watermarks and subtitles. Based on these results, it can be concluded that the copied video file is a modification of the original video file, and a multimedia forensics approach can be used to supporting the investigation of film piracy cases.