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Optimized intrusion predictions through feature selection methods
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AI
DOI：10.1016/j.cose.2025.104541.png)
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Abstract
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• SHAP, correlation, and info gain-based feature selection on balanced dataset. • Random Forest as a wrapper for feature selection. • Optimized feature subset for Deep Neural Networks. • Improved minority attack detection with reduced complexity. • SHAP and correlation-based methods outperform information gain method.
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A systematic study of the class imbalance problem in convolutional neural networks.png)
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