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Improving balance in intrusion detection for IoT networks using multicollinearity and discriminative power-based feature selection

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Published in:Discover Internet of Things
Format: Online Article RSS Article
Published: 2026
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publishDate 2026
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spellingShingle Improving balance in intrusion detection for IoT networks using multicollinearity and discriminative power-based feature selection
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Improving balance in intrusion detection for IoT networks using multicollinearity and discriminative power-based feature selection
title_auth Improving balance in intrusion detection for IoT networks using multicollinearity and discriminative power-based feature selection
title_full Improving balance in intrusion detection for IoT networks using multicollinearity and discriminative power-based feature selection
title_fullStr Improving balance in intrusion detection for IoT networks using multicollinearity and discriminative power-based feature selection
title_full_unstemmed Improving balance in intrusion detection for IoT networks using multicollinearity and discriminative power-based feature selection
title_short Improving balance in intrusion detection for IoT networks using multicollinearity and discriminative power-based feature selection
title_sort improving balance in intrusion detection for iot networks using multicollinearity and discriminative power-based feature selection
topic Computer Science
General
Computer Science
url https://link.springer.com/article/10.1007/s43926-026-00402-x