Hamid, Isredza Rahmi A. and Abawajy, Jemal 2011, Phishing email feature selection approach, in TRUSTCOM 2011 : International Conference on Trust, Security and Privacy in Computing and Communications, IEEE, Piscataway, N. J., pp. 916-921.
Phishing emails are more dynamic and cause high risk of significant data, brand and financial loss to average computer user and organizations. To address this problem, we propose a hybrid feature selection approach based on combination of content-based and behavior-based. Our proposed hybrid features selections are able to achieve 93% accuracy rate as compared to other approaches. In addition, we successfully tested the quality of our proposed behavior-based feature using the Information Gain, Gain Ratio and Symmetrical Uncertainty.
Field of Research
080501 Distributed and Grid Systems
Socio Economic Objective
890206 Internet Hosting Services (incl. Application Hosting Services)
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