Mobile Forensic Investigation of Fake News Cases on Instagram Applications with Digital Forensics Research Workshop Framework

Imam Riadi, Riadi (2022) Mobile Forensic Investigation of Fake News Cases on Instagram Applications with Digital Forensics Research Workshop Framework. International Journal of Artificial Intelligence Research, 6 (2). ISSN 2579-7298

[thumbnail of HASIL CEK_Mobile Forensic Investigation of Fake News Cases on Instagram Applications with Digital Forensics Research Workshop Framework.pdf] Text
HASIL CEK_Mobile Forensic Investigation of Fake News Cases on Instagram Applications with Digital Forensics Research Workshop Framework.pdf

Download (1MB)

Abstract

The number of digital crimes or cybercrimes today continues to increase every year, and lately a lot of it happens on social media like Instagram. The social behavior of today's people who communicate more through social media encourages the perpetrators of these digital crimes. Instagram is a social media that is often found content that contains elements of pornography, hoax news, hate speech, etc. This research is aimed at processing digital evidence of cases of the spread of hoax news on the Instagram application. This research follows the framework of the Digital Forensics Research Workshop (DFRWS) with six stages, namely identification, preservation, collection, examination, analysis and presentation. The process of obtaining digital evidence is assisted by the application of Axiom Magnet and CellebriteUFED. Digital evidence sought from the smartphone device of the suspected hoax news disseminator seized following the case scenario consists of 8 variables in the form of accounts, emails, images, videos, urls, times, ipaddressand location. The results of this research with the help of the application of Magnet Axiom digital proof obtained by 87.5% and the CellebriteUFEDapplication of 68.75%. The results of this study show that Magnet Axiom have better performance than MOBILeditForensics.

Item Type: Artikel Umum
Subjects: T Technology > T Technology (General)
T Technology > T Technology (General) > T201 Patents. Trademarks
Divisi / Prodi: Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Informatics Engineering (S1-Teknik Informatika)
Depositing User: Dr Imam Riadi
Date Deposited: 03 Nov 2022 02:00
Last Modified: 03 Nov 2022 02:00
URI: http://eprints.uad.ac.id/id/eprint/37405

Actions (login required)

View Item View Item