Special Issue Article
An Innovative Framework for the Detection and Prediction of Phishing Websites
With the advent of internet, various online attacks has been increased and among them the most popular attack is phishing.Phishing is an attempt by an individual or a group to get personal confidential information such as passwords, credit card information from unsuspecting victims for identity theft, financial gain and other fraudulent activities. In recent years phishing is a technique used for cyber crimes. Spoofing is a new type of cyber crime in this globalisation era. Spoofing refers tricking computer systems or computer users by hiding one‟s identity or faking the identity of another user on the Internet.E-mail spoofing means sending messages from a bogus e-mail address or faking the e-mail ID of another user. This paper employs back propagation network for identifying malicious URL‟s in a network .It has been observed that the method predicts the phishing website more accurately when compared to any other learning algorithms.