Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach-Reference-Cited by-同舟云学术

Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach

Published:2021-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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Author:

Liang Xiao¹,Yang Zheng²,Wang Binghui³,Hu Shaofeng¹,Yang Zijie²,Yuan Dong²,Gong Neil Zhenqiang⁴,Li Qi²,He Fang¹

Affiliation:

1. Tencent Inc., Shenzhen, China

2. Tsinghua University, Beijing, China

3. Duke University & Illinois Institute of Technology, Durham, NC, USA

4. Duke University, Durham, NC, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467094

Reference35 articles.

1. Yazan Boshmaf Dionysios Logothetis Georgos Siganos and etal 2016. Íntegro: Leveraging Victim Prediction for Robust Fake Account Detection in Large Scale OSNs. Computers & Security (2016). Yazan Boshmaf Dionysios Logothetis Georgos Siganos and et al. 2016. Íntegro: Leveraging Victim Prediction for Robust Fake Account Detection in Large Scale OSNs. Computers & Security (2016).

2. Qiang Cao Michael Sirivianos Xiaowei Yang and Tiago Pregueiro. 2012. Aiding the detection of fake accounts in large scale social online services. In NSDI. Qiang Cao Michael Sirivianos Xiaowei Yang and Tiago Pregueiro. 2012. Aiding the detection of fake accounts in large scale social online services. In NSDI.

3. Qiang Cao Xiaowei Yang Jieqi Yu and Christopher Palow. 2014. Uncovering large groups of active malicious accounts in online social networks. In CCS. Qiang Cao Xiaowei Yang Jieqi Yu and Christopher Palow. 2014. Uncovering large groups of active malicious accounts in online social networks. In CCS.

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