Dark Web Forensics: An Investigation of Tracking Dark Web Activity with Digital Forensics

Robert Brinson; Hayden Wimmer; Lei Chen

doi:10.1109/IRTM54583.2022.9791646

Dark Web Forensics: An Investigation of Tracking Dark Web Activity with Digital Forensics

Robert Brinson, Hayden Wimmer, Lei Chen

Information Technology

Georgia Southern University

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The Dark Web has become home to malicious, illegal, and exploitative activities. Due to the nature of the Dark Web and the browsers used to reach it, uncovering these activities presents grave challenges to digital investigators or law enforcement agencies. In this work, we seek to use state of the art, closed-source Digital Forensics software to extract predefined Dark Web activities from a mobile device.

Original language	American English
Journal	Interdisciplinary Research in Technology and Management (IRTM) Conference Proceedings
DOIs	https://doi.org/10.1109/IRTM54583.2022.9791646
State	Published - Jun 16 2022

Disciplines

Computer Sciences

Keywords

Closed-Source
Dark Web
Deep Web
Digital Forensics
Open-Source

Access to Document

10.1109/IRTM54583.2022.9791646License: Unspecified

https://doi.org/10.1109/IRTM54583.2022.9791646

Cite this

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abstract = " The Dark Web has become home to malicious, illegal, and exploitative activities. Due to the nature of the Dark Web and the browsers used to reach it, uncovering these activities presents grave challenges to digital investigators or law enforcement agencies. In this work, we seek to use state of the art, closed-source Digital Forensics software to extract predefined Dark Web activities from a mobile device.",

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AB - The Dark Web has become home to malicious, illegal, and exploitative activities. Due to the nature of the Dark Web and the browsers used to reach it, uncovering these activities presents grave challenges to digital investigators or law enforcement agencies. In this work, we seek to use state of the art, closed-source Digital Forensics software to extract predefined Dark Web activities from a mobile device.

KW - Closed-Source

KW - Dark Web

KW - Deep Web

KW - Digital Forensics

KW - Open-Source

UR - https://digitalcommons.georgiasouthern.edu/information-tech-facpubs/173

UR - https://doi.org/10.1109/IRTM54583.2022.9791646

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ER -

Dark Web Forensics: An Investigation of Tracking Dark Web Activity with Digital Forensics

Abstract

Disciplines

Keywords

Access to Document

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