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A Framework for Dark Web Threat Intelligence Analysis

A Framework for Dark Web Threat Intelligence Analysis

Xuan Zhang, KP Chow
Copyright: © 2018 |Volume: 10 |Issue: 4 |Pages: 10
ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781522543633|DOI: 10.4018/IJDCF.2018100108
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MLA

Zhang, Xuan, and KP Chow. "A Framework for Dark Web Threat Intelligence Analysis." IJDCF vol.10, no.4 2018: pp.108-117. http://doi.org/10.4018/IJDCF.2018100108

APA

Zhang, X. & Chow, K. (2018). A Framework for Dark Web Threat Intelligence Analysis. International Journal of Digital Crime and Forensics (IJDCF), 10(4), 108-117. http://doi.org/10.4018/IJDCF.2018100108

Chicago

Zhang, Xuan, and KP Chow. "A Framework for Dark Web Threat Intelligence Analysis," International Journal of Digital Crime and Forensics (IJDCF) 10, no.4: 108-117. http://doi.org/10.4018/IJDCF.2018100108

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Abstract

This article describes how the Dark Web is usually considered the dark side of the World Wide Web. Cyber criminals usually use specialized tools, e.g. TOR, to access the hidden services inside the Dark Web anonymously. Law enforcement officers have difficulty tracing the identity of these cyber criminals using traditional network investigation techniques that are based on IP addresses. The information available in the Dark Web, which includes BitCoin wallets, email addresses, hyperlinks, images and user behavior profiles, can be used for further analysis, such as a correlation analysis. Present within this artcile is a threat intelligence analysis framework to help analyze the crimes and criminals in the Dark Web and the framework is realized by the implementation of the Dark Web Threat Intelligence Analysis (DWTIA) Platform.

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