Deep Neural Network Based Model for Phishing-Sites Detection

Abstract

The evolution of web has positively transformed the paradigm of communication, trading, and collaboration for the benefit of humanity. However, these benefits of the Web are shadowed by cyber-criminals who use the Web as a medium to perform malicious activities motivated by illegitimate benefits. Phishing is a growing threat to Internet users and causes billions of dollars in damage every year. The replicas of the legitimate sites are created and users are directed to that web site by luring some offers to it. In this paper we introduce a model of our ongoing research Phishing Website Detection for Advanced Persistent Threats. In this model we used deep neural network technique on some features of phishing sites.