Phishing hybrid feature-based classifier by using recursive features subset selection and machine learning algorithms

• Main Authors: Zuhair, H., Selamat, A.
• Format: Conference or Workshop Item
• Language: English
• Published: 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/88940/1/HibaZuhair2019_PhishingHybridFeatureBasedClassifier.pdf; http://eprints.utm.my/id/eprint/88940/; https://dx.doi.org/10.1007/978-3-319-99007-1_26
• Institution: Universiti Teknologi Malaysia

Machine learning classifiers enriched the anti-phishing schemes with effective phishing classification models. However, they were constrained by their deficiency of inductive factors like learning on big and imbalanced data, deploying rich sets of features, and learning classifiers actively. That re...