Clustering and Bayesian Approach-based Model for Detection of Phishing

Phishing is an internet attack that aims to get users sensitive information by fraud websites. Website phishing is one of the major attacks by which most of internet users are being fooled by the phisher. The best way to protect from phishing is to recognize a phish. Phishing emails usually appear to come from well-known organization and ask your personal information such as credit card number, security number, account number or passwords. What actually attacker does? The attacker creates the no of replicas of authenticate sites, and users are forced to direct to that websites by attracting them with offers. As standard mentioned in W3C (World Wide Web Consortium), I am proposing a system which can easily recognize the difference between authenticate site and phishing site. There are certain standards which are given by W3C (World Wide Web Consortium), based on these standards I am choosing some features which can easily describe the difference between legit site and phish site.