Title

Enhancing Phishing E-Mail Classifiers: A Lexical URL Analysis Approach

Document Type

Journal Article

Faculty

Faculty of Computing, Health and Science

School

ECU Security Research Institute

RAS ID

14722

Comments

This article was originally published as: Khonji, M., Iraqi, Y., & Jones, A. (2013). Enhancing Phishing E-Mail Classifiers: A Lexical URL Analysis Approach. International Journal for Information Security Research, 3(1), 236-245. Original article available here

Abstract

This is a study that focuses on enhancing the mitigation of bulk phishing email messsages (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 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.

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