Hybrid features-based prediction for novel phish websites
Phishers frequently craft novel deceptions on their websites and circumvent existing anti-phishing techniques for insecure intrusions, users’ digital identity theft, and then illegal profits. This raises the needs to incorporate new features for detecting novel phish websites and optimizing the exis...
Main Authors: | Zuhair, H., Salleh, M., Selama, A. |
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Format: | Article |
Language: | English |
Published: |
Penerbit UTM Press
2016
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Subjects: | |
Online Access: | http://eprints.utm.my/74338/1/MazleenaSalleh2016_HybridFeaturesBasedPrediction.pdf |
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