International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 185 - Number 26 |
Year of Publication: 2023 |
Authors: Fakhira Annisatul Zahrah, Imam Riadi |
10.5120/ijca2023923009 |
Fakhira Annisatul Zahrah, Imam Riadi . Browser Forensics on Web-based Tiktok Applications using Digital Forensic Research Workshop Method. International Journal of Computer Applications. 185, 26 ( Aug 2023), 34-40. DOI=10.5120/ijca2023923009
The rapid development of the current age of information technology has brought many advantages and disadvantages, one of which is TikTok. However, it still often happens that people misuse this TikTok videos where the content harms certain decent things for public consumption. TikTok also affects society today as a place to spread hoax content. This research aims to obtain digital evidence of cybercrime cases using the current method, namely the Digital Forensic Research Workshop (DFRWS). The method used in this research uses the Digital Forensic Research Workshop (DFRWS) which has 6 stages of research, namely identification, maintenance, collection, examination, analysis, and presentation. The tools used in this research are FTK Imager, Browser History Examiner, Browser History Capture, and Video Cache View. The results of this study are that the FTK Imager obtained results in the form of usernames and Passwords The Browser History Examiner tool obtains evidence in the form of the date and time of uploading the tiktok video. Tools Browser History Viewer obtained 1 proof of the TikTok video thumbnail and the perpetrator's profile photo. Video Cache View tools get 1 proof that deleted videos can be extracted back into a complete video.