Retruth Reconnaissance: A Digital Forensic Analysis of Truth Social


연구 분야: Analysis



학회: International Conference on Digital Forensics and Cyber Crime


초록

Truth Social is a social media platform founded by former President Donald J. Trump as an alternative to mainstream social media platforms. Like other alt-tech social media, such as Parler or MeWe, Truth Social’s looser content moderation rules may encourage more extreme user-based content. This includes biased language- posts with racist, sexist, ableist, or other discriminatory intent- and calls for violence. Digital forensic analysis can be useful in such cases, where law enforcement seeks to prevent or investigate extremist threats associated with a platform. This research fills a gap in the extant literature by offering a novel forensic analysis of Truth Social, based on established techniques. First, using mobile devices, account and application metadata was discovered. Next, network traffic analysis using a desktop computer revealed plaintext usernames and passwords. A detailed depiction of the forensic analysis performed for this paper is presented to aid future investigators.


Author Profile
Joseph Brown

College of Engineering Division of Computer Science Center for Computation and Technology Baggil(i) Truth (BiT) Lab Louisiana State University Baton Rouge USA

Andorra
Author Profile
Ibrahim Baggili

College of Engineering Division of Computer Science Center for Computation and Technology Baggil(i) Truth (BiT) Lab Louisiana State University Baton Rouge USA

Andorra

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발행 연도 2024년
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출판 국가 Andorra
사이트 Springer
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