Real-Time Twitter Content Polluter Detection Based on Direct Features
暂无分享,去创建一个
[1] Minaxi Gupta,et al. Twitter games: how successful spammers pick targets , 2012, ACSAC '12.
[2] Vern Paxson,et al. @spam: the underground on 140 characters or less , 2010, CCS '10.
[3] Dawn Xiaodong Song,et al. Suspended accounts in retrospect: an analysis of twitter spam , 2011, IMC '11.
[4] Alex Pentland,et al. Twitter: who gets caught? observed trends in social micro-blogging spam , 2014, WebSci '14.
[5] Sushil Jajodia,et al. Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg? , 2012, IEEE Transactions on Dependable and Secure Computing.
[6] Kyumin Lee,et al. Uncovering social spammers: social honeypots + machine learning , 2010, SIGIR.
[7] Chao Yang,et al. Empirical Evaluation and New Design for Fighting Evolving Twitter Spammers , 2013, IEEE Trans. Inf. Forensics Secur..
[8] Po-Ching Lin,et al. A study of effective features for detecting long-surviving Twitter spam accounts , 2013, 2013 15th International Conference on Advanced Communications Technology (ICACT).
[9] Wei Hu,et al. Twitter spammer detection using data stream clustering , 2014, Inf. Sci..
[10] Chao Yang,et al. Empirical Evaluation and New Design for Fighting Evolving Twitter Spammers , 2011, IEEE Transactions on Information Forensics and Security.