Provided by: Infonomics Society
This is a paper 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 paper is based on a phishing website detection technique that the authors 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.