Enhancing Phishing E-Mail Classifiers: A Lexical URL Analysis Approach
Mahmoud Khonji, Youssef Iraqi, Andrew R. Jones · International Journal for Information Security Research · 2013
This is a study that focuses on enhancing the mitigation of bulk phishing email messages (i.e.email messages with generic socially engineered content that target a broad range of recipients).This study is based on a phishing website detection technique that we have proposed previously.The previously proposed technique was able to achieve 97% of classification accuracy of phishing websites by lexically analyzing their URLs.The centre claim of this study is that the classification accuracy of anti-phishing email filters enhance when they incorporate the proposed lexical URL analysis technique.To evaluate the claims, a highly accurate anti-phishing email classifier is constructed and tested against publicly available phishing and legitimate email data sets.