Provided by: International Journal of Innovative Research In Advanced Engineering (IJIRAE)
Now-a-days, phishing attacks are increasing with burgeoning rate which is highly problematic for social and financial websites. Many anti-phishing mechanisms currently focused to verify whether a website is genuine or not. In this paper, the authors describe a novel approach for detecting phishing websites based on analysis of users' online behaviors - i.e., the websites users have visited, and the data users have submitted to those websites. Such user behaviors cannot be manipulated freely by attackers; detection based on those data can achieve high accuracy whilst being fundamentally resilient against changing deception methods.