SURVEY AND ANALYSIS ON PHISHING DETECTION TECHNIQUES

Social networks are one of the emerging popular platforms for users to interact with each other. User privacy protection on social network is more significant because of availability of huge volume of sensitive data in social network platforms. A conventional information stealing technique is phishing attacks still works in their way to cause a lot of privacy violation incidents. Phishing is a technique where attackers attempt to steal personal information of website users by creating websites that mimic as legitimate website. Phishers steals confidential or sensitive information like credit card pin number, password etc for their personal use or for organizational purpose. Phishing websites often direct users to enter personal information at a fake website which look and feel almost identical to the legitimate one. So it is essential to detect phishing websites in social network platforms. There are various techniques and approaches have been proposed for detection of phishing websites. This survey focus to provide an overview of the literature in phishing detection with various techniques implemented in them, their merits and demerits etc. Comparison based on parameters was also done to prove the efficiency of the various proposed techniques of phishing detection. The comparison results show the best phishing detection method among them.