International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 183 - Number 29 |
Year of Publication: 2021 |
Authors: Rizal Adijisman, Imam Riadi |
10.5120/ijca2021921680 |
Rizal Adijisman, Imam Riadi . Mobile Forensic on WhatsAppServices using National Institute of Standards and Technology Method. International Journal of Computer Applications. 183, 29 ( Oct 2021), 41-48. DOI=10.5120/ijca2021921680
WhatsApp is a free chat application that allows users to exchange text messages, photos, videos, documents and can share the latest location available on Android and iOS versions built by Brian Acton and Jan Koum. One of the shortcomings of WhatsApp is that it can be used as a medium for committing crimes, such as hate speech. This study uses the National Institute of Standards and Technology (NIST) method, with the stages of collection, examination, analysis, and reporting with several applications that serve as tools to find digital evidence such as MOBILedit Forensic, WhatsApp Viewer, and DB Browser For SQLite. This study uses two smartphones that are evident with different conditions, namely a smartphone that has been in a root condition and a smartphone that is not in a root condition. Test results or looking for evidence using MOBILedit Forensic, WhatsApp Viewer, and DB Browser for SQLite on a smartphone in a root condition managed to find the data you were looking for. The data is in the form of conversational texts containing hate speech content. While the process of searching for evidence using MOBILedit Forensic on smartphones that are not in a data root condition, only images, videos, and audio were found, meaning that they did not find hate speech content in the form of conversational texts. Meanwhile, the process of searching for digital evidence using WhatsApp Viewer and DB Browser for SQLite on a smartphone that is not rooted does not find any data.