Retruth Reconnaissance: A Digital Forensic Analysis of Truth Social

被引:0
|
作者
Brown, Joseph [1 ]
Baggili, Ibrahim [1 ]
机构
[1] Louisiana State Univ, Coll Engn, Div Comp Sci, Ctr Computat & Technol,Baggil i Truth BiT Lab, Baton Rouge, LA 70803 USA
关键词
Digital forensics; Mobile network; Artifacts; Alternative social media; Truth Social;
D O I
10.1007/978-3-031-56580-9_6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 meta-data 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.
引用
收藏
页码:96 / 113
页数:18
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