eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection-Reference-Cited by-同舟云学术

eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection

Published:2020-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of The Web Conference 2020
language:
Short-container-title:

Author:

Kumar Ramnath¹,Yadav Shweta²,Daniulaityte Raminta²,Lamy Francois³,Thirunarayan Krishnaprasad²,Lokala Usha²,Sheth Amit⁴

Affiliation:

1. Birla Institute of Technology and Science Hyderabad, India

2. Wright State University Dayton, Ohio, USA

3. Mahidol University Thailand

4. University of South Carolina Columbia, South Carolina, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3366423.3380263

Reference39 articles.

1. 2017. Dark Web Users Suspect ”Dream Market” Has Also Been Backdoored by Feds. https://thehackernews.com/2017/07/dream-market-darkweb.html 2017. Dark Web Users Suspect ”Dream Market” Has Also Been Backdoored by Feds. https://thehackernews.com/2017/07/dream-market-darkweb.html

2. 2019. Dark web marketplace Wall Street Market busted by international police. https://nakedsecurity.sophos.com/2019/05/07/dark-web-marketplace-wall-street-market-busted-by-international-police/ 2019. Dark web marketplace Wall Street Market busted by international police. https://nakedsecurity.sophos.com/2019/05/07/dark-web-marketplace-wall-street-market-busted-by-international-police/

3. Doppelgänger Finder: Taking Stylometry to the Underground

4. Douglas Bagnall. 2015. Author identification using multi-headed recurrent neural networks. arXiv preprint arXiv:1506.04891(2015). Douglas Bagnall. 2015. Author identification using multi-headed recurrent neural networks. arXiv preprint arXiv:1506.04891(2015).

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study;JMIRx Med;2024-05-01

2. Multi-Identity Recognition of Darknet Vendors Based on Metric Learning;Applied Sciences;2024-02-17

3. Forensic investigation of the dark web on the Tor network: pathway toward the surface web;International Journal of Information Security;2023-08-22

4. Link Prediction-Based Multi-Identity Recognition of Darknet Vendors;Information and Communications Security;2023

5. Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study;JMIR Public Health and Surveillance;2022-12-23