About this document
WELID: Enhanced Intrusion Detection Method by karanic is a document available to read on EtoBox.
The paper presents WELID, a novel weighted ensemble learning method for network intrusion detection that enhances accuracy and efficiency by combining multiple classifiers through probability-weighted voting. It emphasizes the importance of data preprocessing and feature selection to improve model performance while addressing challenges associated with deep learning in real-world applications. Experimental results demonstrate that WELID outperforms existing models in both accuracy and time consumption, maki
- Author
- karanic
- Language
- EN