Comparison with recent methods on the WUSTL-EHMS-2020 dataset.

Comparison with recent methods on the WUSTL-EHMS-2020 dataset.

<p>Comparison with recent methods on the WUSTL-EHMS-2020 dataset.</p>

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Bibliographic Details
Main Author:	Ahmed Muqdad Alnasrallah (21647492) (author)
Other Authors:	Maheyzah Md Siraj (3366005) (author), Hanan Ali Alrikabi (21647495) (author)
Published:	2025
Subjects:	Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified stable statistical improvement significantly impacted society recursive feature elimination prevent future intrusions reducing training time improving healthcare services enhance detection performance deep neural network enhances ids efficiency statistically significant p deep learning methods advanced features selection deep learning model performance improve healthcare deep autoencoder appropriate time robust ids ids model enhancing ids union subsets top 50 study proposes study indicates specialized variant growing interconnectivity f1 score especially due classifies traffic cicids2017 dataset 2020 dataset
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Summary:	<p>Comparison with recent methods on the WUSTL-EHMS-2020 dataset.</p>

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