Aiding the Detection of Fake Accounts in Large Scale Social Online Services

@inproceedings{Cao2012AidingTD,
  title={Aiding the Detection of Fake Accounts in Large Scale Social Online Services},
  author={Qiang Cao and Michael Sirivianos and Xiaowei Yang and Tiago Pregueiro},
  booktitle={NSDI},
  year={2012}
}
Users increasingly rely on the trustworthiness of the information exposed on Online Social Networks (OSNs). In addition, OSN providers base their business models on the marketability of this information. However, OSNs suffer from abuse in the form of the creation of fake accounts, which do not correspond to real humans. Fakes can introduce spam, manipulate online rating, or exploit knowledge extracted from the network. OSN operators currently expend significant resources to detect, manually… CONTINUE READING
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Aiding the Detection of Fake Accounts in Large Scale Social Online Services

  • Q. Cao, M. Sirivianos, X. Yang, T. Pregueiro
  • Technical Report,http://www.cs.duke.edu/~qiangcao…
  • 2011
1 Excerpt

Suspended Ac counts in Retrospect: An Analysis of Twitter Spam

  • K. Thomas, C. Grier, V. Paxson, D. Song
  • IMC,
  • 2011

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