Secret information display based authentication technique towards preventing phishing attacks
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Intelligent phishing detection and protection scheme for online transactions
Expert Systems with Applications: An International Journal
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This paper presents a study on using a concept feature to detect web phishing problem. Following the features introduced in Carnegie Mellon Anti-phishing and Network Analysis Tool (CANTINA), we applied additional domain top-page similarity feature to a machine learning based phishing detection system. We preliminarily experimented with a small set of 200 web data, consisting of 100 phishing webs and another 100 non-phishing webs. The evaluation result in terms of f-measure was up to 0.9250, with 7.50% of error rate.