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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

55 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Intelligence and Security Informatics
Subtitle of host publicationCybersecurity and Big Data, ISI 2016
EditorsWenji Mao, G. Alan Wang, Lina Zhou, Lisa Kaati
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-12
Number of pages6
ISBN (Electronic)9781509038657
DOIs
StatePublished - Nov 15 2016
Event14th IEEE International Conference on Intelligence and Security Informatics, ISI 2015 - Tucson, United States
Duration: Sep 28 2016Sep 30 2016

Publication series

NameIEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016

Other

Other14th IEEE International Conference on Intelligence and Security Informatics, ISI 2015
CountryUnited States
CityTucson
Period9/28/169/30/16

ASJC Scopus subject areas

  • Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Nunes, E., Diab, A., Gunn, A., Marin, E., Mishra, V., Paliath, V., Robertson, J., Shakarian, J., Thart, A., & Shakarian, P. (2016). Darknet and deepnet mining for proactive cybersecurity threat intelligence. In W. Mao, G. A. Wang, L. Zhou, & L. Kaati (Eds.), IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016 (pp. 7-12). [7745435] (IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISI.2016.7745435