Mining the Dark Web: Drugs and fake ids

Book chapter


Baravalle, A., Lopez, Mauro Sanchez and Lee, Sin Wee 2017. Mining the Dark Web: Drugs and fake ids. in: 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW) IEEE.
AuthorsBaravalle, A., Lopez, Mauro Sanchez and Lee, Sin Wee
Abstract

In the last years, governmental bodies have been futilely trying to fight against dark web marketplaces. Shortly after the closing of “The Silk Road” by the FBI and Europol in 2013, new successors have been established. Through the combination of cryptocurrencies and nonstandard communication protocols and tools, agents can anonymously trade in a marketplace for illegal items without leaving any record. This paper presents a research carried out to gain insights on the products and services sold within one of the larger marketplaces for drugs, fake ids and weapons on the Internet, Agora. Our work sheds a light on the nature of the market; there is a clear preponderance of drugs, which accounts for nearly 80% of the total items on sale. The ready availability of counterfeit documents, while they make up for a much smaller percentage of the market, raises worries. Finally, the role of organized crime within Agora is discussed and presented.

Book title2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)
Year2017
PublisherIEEE
Publication dates
Online02 Feb 2017
Publication process dates
Deposited08 Nov 2016
EventData Wrangling Automation (DWA 2016)
ISBN978-1-5090-5910-2
Electronic ISSN: 2375-9259
Digital Object Identifier (DOI)https://doi.org/10.1109/ICDMW.2016.0056
Web address (URL)https://doi.org/ 10.1109/ICDMW.2016.0056
http://users.dsic.upv.es/~flip/DWA2016/
Additional information

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Accepted author manuscript
Permalink -

https://repository.uel.ac.uk/item/84x34

Download files

  • 563
    total views
  • 1551
    total downloads
  • 8
    views this month
  • 61
    downloads this month

Export as

Related outputs

Time-series clustering for sensor fault detection in large-scale Cyber-Physical Systems
Alwan, A., Brimicombe, A., Ciupala, A., Ghorashi, S., Baravalle, A. and Falcarin, P. 2022. Time-series clustering for sensor fault detection in large-scale Cyber-Physical Systems. Computer Networks. 218 (Art. 109384). https://doi.org/10.1016/j.comnet.2022.109384
An Open Source Software Architecture for Smart Buildings
Alwan, A., Baravalle, A., Ciupala, A. and Falcarin, P. 2018. An Open Source Software Architecture for Smart Buildings. in: Arai, K., Kapoor, S. and Bhatia, R. (ed.) Intelligent Systems and Applications Springer.
On the Sustainability of Web Systems Evolution
Baravalle, A., Boldyreff, Cornelia, Capiluppi, Andrea and Marques, Renata 2013. On the Sustainability of Web Systems Evolution. Web Systems Evolution 2013. Eindhoven 27 Sep 2013