Identifying top listers in Alphabay using Latent Dirichlet Allocation

John Grisham, Calvin Barreras, Cyran Afarin, Mark Patton, Hsinchun Chen

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

3 Scopus citations

Abstract

This poster analyzes the Alphabay underground marketplace-an anonymous trading grounds for illicit goods and services. Listing data was collected and interpreted using Latent-Dirichlet Allocation (LDA), to determine common topics in the listings. Results found offer insight to the types of goods being sold and who is selling them.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages219
Number of pages1
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

Other

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

Keywords

  • Alphabay
  • anonymous marketplaces
  • Latent Dirichlet Allocation
  • LDA
  • Tor
  • underground economy

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

    Grisham, J., Barreras, C., Afarin, C., Patton, M., & Chen, H. (2016). Identifying top listers in Alphabay using Latent Dirichlet Allocation. In IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016 (pp. 219). [7745477] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISI.2016.7745477