Research Article

Forensic Website Analysis of Movie Piracy on TikTok using the ACPO Framework

by  Bunga Syahira Najla, Imam Riadi
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Issue 38
Published: September 2025
Authors: Bunga Syahira Najla, Imam Riadi
10.5120/ijca2025925677
PDF

Bunga Syahira Najla, Imam Riadi . Forensic Website Analysis of Movie Piracy on TikTok using the ACPO Framework. International Journal of Computer Applications. 187, 38 (September 2025), 56-63. DOI=10.5120/ijca2025925677

                        @article{ 10.5120/ijca2025925677,
                        author  = { Bunga Syahira Najla,Imam Riadi },
                        title   = { Forensic Website Analysis of Movie Piracy on TikTok using the ACPO Framework },
                        journal = { International Journal of Computer Applications },
                        year    = { 2025 },
                        volume  = { 187 },
                        number  = { 38 },
                        pages   = { 56-63 },
                        doi     = { 10.5120/ijca2025925677 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2025
                        %A Bunga Syahira Najla
                        %A Imam Riadi
                        %T Forensic Website Analysis of Movie Piracy on TikTok using the ACPO Framework%T 
                        %J International Journal of Computer Applications
                        %V 187
                        %N 38
                        %P 56-63
                        %R 10.5120/ijca2025925677
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

The development of information technology has increased the use of social media, including TikTok, which is now prone to being used for digital crimes such as movie piracy. The research aims to uncover digital evidence of movie piracy on TikTok Web using digital forensic methods with the Association of Chief Police Officers (ACPO) approach, which consists of four stages: planning, data acquisition, analysis, and presentation of results. The tools used in the investigation are FTK Imager, Browser History Examiner, and VideoCacheView. Results showed that FTK Imager and Browser History Examiner each successfully extracted 5 out of 12 digital evidences (41.7%), while VideoCacheView obtained only 2 evidences (16.7%). These findings emphasize the importance of selecting and combining forensic tools that are appropriate for the type of digital data. This approach proved to be effective in supporting the process of identifying and proving content piracy on the TikTok Web platform.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Digital Evidence Movie Piracy TikTok Association of Chief Police Officers (ACPO).

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