The effectiveness of url features on phishing emails classification using machine learning approach
Phishing email classification requires features so that the performance obtained produces good accuracy. One of the reasons for the lack of development of models for detecting phishing emails is the complexity of the feature selection. Feature selection is one of the essential parts of getting a...
| Main Authors: | Ahmad Fadhil Naswir, Lailatul Qadri Zakaria, Saidah Saad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2022
|
| Online Access: | http://journalarticle.ukm.my/20846/ http://journalarticle.ukm.my/20846/1/4.pdf |
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