International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 175 - Number 34 |
Year of Publication: 2020 |
Authors: Tomi Pandela, Imam Riadi |
10.5120/ijca2020920897 |
Tomi Pandela, Imam Riadi . Browser Forensics on Web-based Tiktok Applications. International Journal of Computer Applications. 175, 34 ( Dec 2020), 47-52. DOI=10.5120/ijca2020920897
Tiktok application is an application that is being used a lot, so it causes many criminal acts such as defamation, cybercrime, and cyberbullying. This study uses a forensic method as a standard in the research phase to reveal evidence of pollution crimes that occur in the TikTok web browser application. The method used in this research is the National Institute of Standard Technology (NIST). This method has 4 stages used for reference in the analysis of evidence, namelyanalysis collection, examination,and reporting. This research uses a laptop which is used as experimental material in the scenario. This case uses a Chrome web browser in public mode where a laptop is logged into Tiktok with the Chrome browser used to post videos. This research uses tools, forensicnamely FTK Imager, Browser History Capture / Viewer, Video Cache Viewer. The results obtained from this study are data or evidence from a post that has been deleted in the TikTok web browser application. The results obtained from the process of this research stage are in the form of text, username, photos / videos, and links from posts that the suspect has deleted. Based on the toolsused in this study, 80% managed to get butki goods and 20% failed, namely video. The evidence found can then be used to report and assist in the trial process.