A Survey of Phishing Email Filtering Techniques

Meulenberg, A.; Almomani, Eman; Almomani, Ammar; Gupta, B. B.; Atawneh, Samer

doi:10.1109/SURV.2013.030713.00020

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A Survey of Phishing Email Filtering Techniques

Author(s): Ammar Almomani , B. B. Gupta , Samer Atawneh , A. Meulenberg , Eman Almomani

Publication date (Print): 24 2013

Journal: IEEE Communications Surveys & Tutorials

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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Most cited references 43

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DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction

N.K. Kasabov, Qun Song (2002)

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Training a support vector machine in the primal.

Olivier Chapelle (2007)

Most literature on support vector machines (SVMs) concentrates on the dual optimization problem. In this letter, we point out that the primal problem can also be solved efficiently for both linear and nonlinear SVMs and that there is no reason for ignoring this possibility. On the contrary, from the primal point of view, new families of algorithms for large-scale SVM training can be investigated.