Ghanem, M.C.; Mulvihill, P.; Ouazzane, K.; Djemai, R.; Dunsin, D. D2WFP: A Novel Protocol for Forensically Identifying, Extracting, and Analysing Deep and Dark Web Browsing Activities. J. Cybersecur. Priv.2023, 3, 808-829.
Ghanem, M.C.; Mulvihill, P.; Ouazzane, K.; Djemai, R.; Dunsin, D. D2WFP: A Novel Protocol for Forensically Identifying, Extracting, and Analysing Deep and Dark Web Browsing Activities. J. Cybersecur. Priv. 2023, 3, 808-829.
Ghanem, M.C.; Mulvihill, P.; Ouazzane, K.; Djemai, R.; Dunsin, D. D2WFP: A Novel Protocol for Forensically Identifying, Extracting, and Analysing Deep and Dark Web Browsing Activities. J. Cybersecur. Priv.2023, 3, 808-829.
Ghanem, M.C.; Mulvihill, P.; Ouazzane, K.; Djemai, R.; Dunsin, D. D2WFP: A Novel Protocol for Forensically Identifying, Extracting, and Analysing Deep and Dark Web Browsing Activities. J. Cybersecur. Priv. 2023, 3, 808-829.
Abstract
The use of the un-indexed web, commonly known as the deep web and dark web, to commit or facilitate criminal activity has drastically increased over the past decade. The dark web is an infamously dangerous place where all kinds of criminal activities take place, despite advances in web forensics techniques, tools, and methodologies, few studies have formally tackled the dark and deep web forensics and the technical differences in terms of investigative techniques and artefacts identification and extraction. This research proposes a novel and comprehensive protocol to guide and assist digital forensics professionals in investigating crimes committed on or via the deep and dark web, the protocol named D2WFP establishes a new sequential approach for performing tasks and subtasks to improve the accuracy and effectiveness of current tools' output. Quantitative and qualitative research has been conducted by testing the protocol following a comprehensive and rigorous process in different scenarios and the obtained results show an apparent increase in the number of artefacts recovered when adopting D2WFP. The second contribution of D2WFP is the artefacts correlation and cross-validation which enables Digital Forensics professionals to better document and structure their analysis of host-based deep and dark web browsing artefacts.
Keywords
Dark Web, Deep Web, Cybercrime, Dark Web Forensics, Digital Crime Investigation, Cyber Forensics, DFIR, Dark-Web Protocol, TOR, Online Black Market.
Subject
Computer Science and Mathematics, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
