3 Scopus citations

Abstract

In recent years, there is a notable rise for proactive, intelligence-driven cyber defense mechanisms. Following this demand, we study here how to leverage the spread of adoption behavior among individuals to predict their posts on hacking forums of the darkweb, driven by the influential activities of their peers. We formulate our problem as a sequential rule mining task, where the goal is to discover user posting rules through sequences of user posts, to later use those rules to make predictions in a near future. We run our experiments using multiple post time granularities and time-windows for obtaining rules, observing precision results up to 0.78 and precision gains up to 837%, when compared to the prior probabilities of hackers posts. Our approach is an additional step in the fight against cyber-attacks.

Original languageEnglish (US)
Title of host publicationProceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
EditorsJinjun Chen, Laurence T. Yang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1183-1190
Number of pages8
ISBN (Electronic)9781728111414
DOIs
StatePublished - Mar 20 2019
Event16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018 - Melbourne, Australia
Duration: Dec 11 2018Dec 13 2018

Publication series

NameProceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018

Conference

Conference16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
CountryAustralia
CityMelbourne
Period12/11/1812/13/18

Keywords

  • Darkweb
  • Hacking forums
  • Rule-learning
  • Social influence
  • User adoption

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

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  • Cite this

    Marin, E., Almukaynizi, M., Nunes, E., Shakarian, J., & Shakarian, P. (2019). Predicting hacker adoption on darkweb forums using sequential rule mining. In J. Chen, & L. T. Yang (Eds.), Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018 (pp. 1183-1190). [8672225] (Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BDCloud.2018.00174