Publication

Abstract : Phishing is a fraudulent scheme to acquire sensitive information from users by masking as a trustworthy entity in an electronic communication. These attacks are increasing in frequency and have become more sophisticated and inevitable in the present day web. Though there are many existing anti-phishing solutions, attackers succeed to lure victims. This gives us a scope to develop a novel Anti-Phishing approach that overcomes the difficulty of detecting phishing websites. The Anti-Phishing method explained here explores the Resource Description Framework (RDF) data model to annotate the context sensitive features of the webpage. The semantic features of the page are collected from its HTML source and external information repositories in the internet. Two intact RDFs are generated for the suspicious webpage as well as webpage which is retrieved from search engine results; those are compared to check its equality to determine the legitimacy of the suspicious webpage and this comparison results are analysed to predict its target page when the suspicious page is being a phishing webpage