EVALUATION OF PHISHING DETECTION ATTACKS WITH URL COMPOSITION
Abstract
Rapid increase in the size of web users. Users enter sensitive information such as
passwords, their personal and professional information into scam web sites. Phishing is the
criminally fraudulent process of attempting to acquire sensitive information such as usernames,
passwords and credit card details, for some illegitimate purpose. Such scam sites cause substantial
damages to individuals and corporations. These attacks can be analyzed through this work, and a
plug in is designed which provide security from the fake websites . This work is improved by using
decision tree c4.5 over id3 and a comparison is drawn.
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