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Proceedings Paper

Data mining the dark web (Conference Presentation)
Author(s): Timothy Singletary

Paper Abstract

With more than three billion people accessing the internet each day, cyber crime is becoming an increasingly pervasive and complex threat government and business encounter. Organizations must secure their enterprise using the most advanced cybersecurity and analytic tools available. This purpose of this research effort was to create platform using open source tools and code with the capability to data mine the DarkNet, the internet’s deepest layer. For most of us, the internet is a place to learn, communicate, and transact business. We routinely enter personal data including medical histories, credit card information, and photos of loved ones. For malicious hackers, the internet is the ideal environment for cyber crime activity. Private portals are routinely compromised and our information made public to user networks deep within the web. Using a secure algorithm, our tools demonstrate methods to automatically and anonymously data mine one of the largest collections of DarkNet

Paper Details

Date Published: 14 May 2018
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Proc. SPIE 10652, Disruptive Technologies in Information Sciences, 106520K (14 May 2018); doi: 10.1117/12.2326889
Show Author Affiliations
Timothy Singletary, Peraton Inc (United States)


Published in SPIE Proceedings Vol. 10652:
Disruptive Technologies in Information Sciences
Misty Blowers; Russell D. Hall; Venkateswara R. Dasari, Editor(s)

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