User Interfaces and Algorithms for Fighting Phishing
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Google Tech Talks
January 4, 2007
ABSTRACT
In this talk, I will discuss our research group's latest work in developing user interfaces and algorithms for anti-phishing. With respect to user interfaces, I will describe the effectiveness of various interventions we have been developing for training people not to fall for attacks.
With respect to algorithms, I will describe PILFER, a machine learning approach for finding phishing attacks in email with 99.8% accuracy, as well as CANTINA, a content-based approach to detecting phishing web pages using the Google search engine itself. A comparative study shows that CANTINA can find ~95% of phishing web pages. Credits: Speaker:Jason Hong
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user
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