|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 175 - Number 29
|Year of Publication: 2020
|Authors: Revani Saputra, Imam Riadi
Revani Saputra, Imam Riadi . Forensic Browser of Twitter based on Web Services. International Journal of Computer Applications. 175, 29 ( Nov 2020), 34-39. DOI=10.5120/ijca2020920832
Twitter is a social media that can be accessed through smartphones and desktops. The large number of users makes Twitter inseparable from crimes including pornography, online gambling and hate speech. In this study, the steps used are collection, examination and analysis. This study uses a laptop as an object that is scenario in a state of opening Twitter via the Google Chrome browser with two modes, namely public mode and private mode. The research used the help of forensic tools, namely ftk imager, dumpIT, belkasoft ram capturer, XhD, browser history viewer, browser history capturer, and cached video viewer. This research produces digital evidence with google chrome browser in public mode and google chrome browser in private mode. In the condition of using the browser in public mode with indicators in the form of text posts, link posts, images, and videos, the research succeeded in getting all the evidence that was sought. Meanwhile, in the private mode google chrome browser managed to get evidence with a success of 50%, namely in the form of text posts and link posts. While the remaining 50% is not found for private mode browsers, namely in image posts and video posts.