DOI
10.5703/1288284317866
Description
We propose an XAI-based ensemble feature selection method combining XAI methods to reduce bias in IDS. A frequency-based approach identifies key features, validated on CICIDS-2017 with improved accuracy and efficiency. Our framework enhances robustness and interpretability in intrusion detection
Ensemble Feature Selection for Network Intrusion Detection Systems Using Explainable AI: A Frequency-Based Approach
We propose an XAI-based ensemble feature selection method combining XAI methods to reduce bias in IDS. A frequency-based approach identifies key features, validated on CICIDS-2017 with improved accuracy and efficiency. Our framework enhances robustness and interpretability in intrusion detection