The battle against phishing: Dynamic Security Skins
SOUPS '05 Proceedings of the 2005 symposium on Usable privacy and security
Cantina: a content-based approach to detecting phishing web sites
Proceedings of the 16th international conference on World Wide Web
Preventing False Positives in Content-Based Phishing Detection
IIH-MSP '09 Proceedings of the 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
An intrusion detection system for detecting phishing attacks
SDM'07 Proceedings of the 4th VLDB conference on Secure data management
Insecure real-world authentication protocols: or why phishing is so profitable
Proceedings of the 13th international conference on Security protocols
Effective protection against phishing and web spoofing
CMS'05 Proceedings of the 9th IFIP TC-6 TC-11 international conference on Communications and Multimedia Security
Verified by visa and mastercard securecode: or, how not to design authentication
FC'10 Proceedings of the 14th international conference on Financial Cryptography and Data Security
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Phishing is deceptive collection of personal information leading to embezzlement, identity theft, and so on. Preventive and combative measures have been taken by banking institutions, software vendors, and network authorities to fight phishing. At the forefront of this resilience are consortiums such as APWG (Anti-Phishing Working Group) and PhishTank, the latter being a collaborative platform where everyone can submit potentially phishing web-pages and classify web-pages as either phish or genuine. PhishTank also has an API that the browsers use to notify users when she tries to load a phishing page. There are some organizations and individuals who are very active and highly accurate in classifying web-pages on PhishTank. In this paper, we propose a defense model that uses these experts to fight phishing. Categories and subject descriptors: Identity theft