International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 183 - Number 41 |
Year of Publication: 2021 |
Authors: Syofia Nur Aniza, Imam Riadi |
10.5120/ijca2021921811 |
Syofia Nur Aniza, Imam Riadi . Mobile Forensic for Cyber Fraud Case on WhatsApp Services using National Institute of Standard Technology Method. International Journal of Computer Applications. 183, 41 ( Dec 2021), 44-50. DOI=10.5120/ijca2021921811
The development of information technology is very rapid, one of which is social media such as WhatsApp. WhatsApp is a communication medium that has many features and conveniences it. The ease with which WhatsApp is used has led to an increase in crimes such as buying and selling fraud online. This research was conducted with a conversation scenario about buying and selling fraud through-based WhatsApp mobile services. This research aims to restore evidence of conversations that have been deleted by applying the NIST forensic stages (National Institute of Standards and Technology), namely collection, examination, analysis, and reporting. Based on the test results from conversations (evidence) that have been deleted, it can be obtained using two tools, forensic namely MOBILedit Forensic Express and AccessData FTK Imager. Evidence obtained from a smartphone in the rooted form of user information, profile photo, phone number, picture, voice recording, date and time the message was sent/received. The evidence of conversation findings that have been found is 100%, user information is 50%, contacts smartphone are 100%, and the time when messages are sent/received is 50%. Smartphones are already at the root of secured evidence in accordance with the stages of digital forensics.