@inproceedings{81efaeff07dc4b9c81b5958789cc9b26,
title = "Exploring the online underground marketplaces through topic-based social network and clustering",
abstract = "Cyber fraud causes significant losses to the economy and has become a lucrative form of illicit business by leveraging the Internet as a communication channel. Criminals in the cyber fraud underground economy use online underground marketplaces and other forms of social media to exchange information and trade stolen information. Analyzing these underground marketplaces is challenging due to the variability of both members and marketplaces. To understand more about the underground economy and the actors in it, we propose a topic-based social network analysis and clustering approach to identify the key members and their roles in the cyber fraud value chain. An experiment is conducted using data from several online underground marketplaces in China. Results suggest that the proposed method can aid in identifying key members in terms of roles, influence levels, and their social relationships.",
keywords = "black market, clustering, cyber threat intelligence, cybersecurity, social media analytics, social network, underground marketplaces",
author = "Huang, {Shin Ying} and Hsinchun Chen",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 14th IEEE International Conference on Intelligence and Security Informatics, ISI 2015 ; Conference date: 28-09-2016 Through 30-09-2016",
year = "2016",
month = nov,
day = "15",
doi = "10.1109/ISI.2016.7745458",
language = "English (US)",
series = "IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "145--150",
editor = "Wenji Mao and Wang, {G. Alan} and Lina Zhou and Lisa Kaati",
booktitle = "IEEE International Conference on Intelligence and Security Informatics",
}