Visualisation Model Based on Phishing Features
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DOI: 10.1142/S0219649219500102
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- Firuz Kamalov & Fadi Thabtah, 2017. "A Feature Selection Method Based on Ranked Vector Scores of Features for Classification," Annals of Data Science, Springer, vol. 4(4), pages 483-502, December.
- Neda Abdelhamid & Fadi Thabtah, 2014. "Associative Classification Approaches: Review and Comparison," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 1-30.
- Fadi Thabtah & Firuz Kamalov, 2017. "Phishing Detection: A Case Analysis on Classifiers with Rules Using Machine Learning," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1-16, December.
- Fadi Thabtah & Neda Abdelhamid, 2016. "Deriving Correlated Sets of Website Features for Phishing Detection: A Computational Intelligence Approach," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 1-17, December.
- Fadi Thabtah, 2006. "Rule Preference Effect in Associative Classification Mining," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 13-20.
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Keywords
Anti-phishing visualisation; computational intelligence; computer security; website phishing;All these keywords.
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