Exploring the Shadows: Advances and Challenges in Dark Web Digital Forensics

Document Type

Article

Publication Date

6-6-2024

Abstract

The dark web poses significant challenges to digital forensic investigations due to its anonymous nature and the sophisticated encryption technologies employed by its users. This paper explores the potential of Generative Pre-trained Transformer (GPT) tools and other AI methodologies to enhance forensic practices on the dark web. Employing a mixed-methods approach that includes experimental applications and qualitative analyses, this study investigates the capabilities of AI-driven tools in improving the accuracy and efficiency of digital forensics. Our results demonstrate notable advancements in forensic processes, with AI tools providing deeper insights and faster processing of complex data sets. The paper concludes by discussing the transformative impacts these technologies have on dark web investigations, opening new avenues for both practice and research in cybersecurity forensics.

Publication

eForensics Magazine

Volume

12

Issue

3

Department

College of Business and Management

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