Darknet and Deepnet Mining for Proactive Cybersecurity Threat Intelligence

Eric Nunes; Ahmad Diab; Andrew Gunn; Ericsson Marin; Vineet Mishra; Vivin Paliath; John Robertson; Jana Shakarian; Amanda Thart; Paulo Shakarian

arXiv · 1607.08583

Darknet and Deepnet Mining for Proactive Cybersecurity Threat Intelligence

Eric Nunes·Ahmad Diab·Andrew Gunn·Ericsson Marin·Vineet Mishra·Vivin Paliath·John Robertson·Jana Shakarian·Amanda Thart·Paulo Shakarian

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Abstract

In this paper, we present an operational system for cyber threat intelligence gathering from various social platforms on the Internet particularly sites on the darknet and deepnet. We focus our attention to collecting information from hacker forum discussions and marketplaces offering products and services focusing on malicious hacking. We have developed an operational system for obtaining information from these sites for the purposes of identifying emerging cyber threats. Currently, this system collects on average 305 high-quality cyber threat warnings each week. These threat warnings include information on newly developed malware and exploits that have not yet been deployed in a cyber-attack. This provides a significant service to cyber-defenders. The system is significantly augmented through the use of various data mining and machine learning techniques. With the use of machine learning models, we are able to recall 92% of products in marketplaces and 80% of discussions on forums relating to malicious hacking with high precision. We perform preliminary analysis on the data collected, demonstrating its application to aid a security expert for better threat analysis.

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BibTeX RIS

Eric Nunes, Ahmad Diab, Andrew Gunn, Ericsson Marin, Vineet Mishra, Vivin Paliath, John Robertson, Jana Shakarian, Amanda Thart, Paulo Shakarian. 2016-07-28. Darknet and Deepnet Mining for Proactive Cybersecurity Threat Intelligence. https://arxiv.org/abs/1607.08583

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