Spammer Detection on Online Social Networks
Twitter with its rising popularity as a micro-blogging website has inevitably attracted attention of spammers. Spammers use myriad of techniques to lure victims into clicking malicious URLs. In this thesis, we present several novel features capable of distinguishing spam accounts from legitimate acc...
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Format: | Others |
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2013
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Online Access: | http://hdl.handle.net/1969.1/148426 |