Social Phishing

Email spam: unsolicited emails for the purpose of advertisement or committing fraud. Phishing: electronic fraud based on social engineering. Phisher: fraudsters who commit phishing crimes. Phishing site: web sites created by phishers to steal sensitive information from users. Anti-phishing: efforts taken from multiple perspectives to combat phishing crimes. Machine learning: the design and development of algorithms that takes as input empirical data, and outputs patterns and predictions for future data.

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[2]  Min Wu,et al.  Do security toolbars actually prevent phishing attacks? , 2006, CHI.

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[9]  Lorrie Faith Cranor,et al.  An Empirical Analysis of Phishing Blacklists , 2009, CEAS 2009.

[10]  Qian Wang,et al.  An content-analysis based large scale Anti-Phishing Gateway , 2010, 2010 IEEE 12th International Conference on Communication Technology.

[11]  Sun Bin,et al.  A DNS Based Anti-phishing Approach , 2010, 2010 Second International Conference on Networks Security, Wireless Communications and Trusted Computing.

[12]  Brian Ryner,et al.  Large-Scale Automatic Classification of Phishing Pages , 2010, NDSS.

[13]  Carly Wilson,et al.  The fight against phishing: Technology, the end user and legislation , 2011, International Conference on Information Society (i-Society 2011).

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