A Phishing Detection System for E-Banking Site

Phishing is an attack that deals with social engineering methodology to illegally acquire and use someone else’s data on behalf of legitimate website for own benefit (e.g. Steal of user’s password and credit card details during online communication). It is affecting all the major sectors of industry day by day with a lot of misuse of user credentials. It is affecting all the major sectors of industry and banking day by day with a lot of misuse of user credentials. To protect bank's users against online phishing, various anti-phishing techniques have been proposed that follows different strategies like client side and server side protection. Hence it is necessary to detect the attacker and secure individuals private data. Till now many approaches are found to detect phishing websites. Among them are Bacterial Foraging algorithm, Visual similarity based approach, etc. Every approach has some weakness or limitations such as less efficient or time consuming or no up-to-date blacklist or phishtank. To detect the phishing websites different techniques are proposed such as classifier technique, heuristics based technique, hybrid technique etc. In this paper, we propose a technique based on Heuristic based technique. In first Phase, website is identified based on different parameters like URL, IP Address, Forms, age of domain. In second Phase, the visual similarity of the phishing banking page is compared with the original banking website. The proposed approach also gives the suggestions to the users for their particular domain search that makes user more comfortable to use the system