Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network

Author:

Zhang Yiming1,Xiong Qi2,Fan Yujie1,Song Wei1,Hou Shifu1,Ye Yanfang1,Li Xin1,Zhao Liang3,Shi Chuan4,Wang Jiabin2

Affiliation:

1. Department of CSEE West Virginia University, WV, USA

2. Tecent Security Lab Tecent, Guangdong, China

3. Department of IST George Mason University, VA, USA

4. School of Computer Science BUPT, Beijing, China

Publisher

ACM Press

Reference43 articles.

1. Sami Abu-El-Haija, Bryan Perozzi, and Rami Al-Rfou. 2017. Learning edge representations via low-rank asymmetric projections. In CIKM. ACM, 1787-1796.

2. Sadia Afroz, Aylin Caliskan Islam, Ariel Stolerman, Rachel Greenstadt, and Damon McCoy. 2014. Doppelgänger finder: Taking stylometry to the underground. In Security and Privacy (SP), 2014 IEEE Symposium on. IEEE, 212-226.

3. Julian Brose´us, Damien Rhumorbarbe, Caroline Mireault, Vincent Ouellette, Frank Crispino, and David De´cary-He´tu. 2016. Studying illicit drug trafficking on Darknet markets: structure and organisation from a Canadian perspective. Forensic science international264 (2016), 7-14.

4. Julia Buxton and Tim Bingham. 2015. The rise and challenge of dark net drug markets. Policy Brief7(2015).

5. Prima Chairunnanda, Nam Pham, and Urs Hengartner. 2011. Privacy: Gone with the Typing! Identifying Web Users by Their Typing Patterns.. In SocialCom/PASSAT. 974-980.

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