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EnLem: An Ensemble Learning-based Model for Detecting Phishing Websites
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  • Most Nilufa Yeasmin ,
  • Md. Abu Rumman Refat ,
  • Bikash Chandra Singh ,
  • Zulfikar Alom ,
  • Zeyar Aung ,
  • Mohammad Abdul Azim
Most Nilufa Yeasmin
Islamic University: Kushtia, Islamic University: Kushtia

Corresponding Author:[email protected]

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Md. Abu Rumman Refat
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Bikash Chandra Singh
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Zulfikar Alom
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Zeyar Aung
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Mohammad Abdul Azim
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In this paper, there is a novel model based on ensemble learning for predicting phishing websites. The overall design is a combination of three individual machine-learning models with the help of the uni-variate feature selection model for detecting phishing and non-phishing URLs. The proposed model can minimize the error rate and provide improved accuracy with a short execution time. As compared with other traditional models, this model has higher performance metrics for detecting phishing websites compared with traditional machine learning and deep learning models. Â