Explainable AI for Comparative Analysis of Intrusion Detection Models

arXiv:2406.09684v1 Announce Type: cross
Abstract: Explainable Artificial Intelligence (XAI) has become a widely discussed topic, the related technologies facilitate better understanding of conventional black-box models like Random Forest, Neural Networks and etc. However, domain-specific applications of XAI are still insufficient. To fill this gap, this research analyzes various machine learning models to the tasks of binary and multi-class classification for intrusion detection from network traffic on the same dataset using occlusion sensitivity. The models evaluated include Linear Regression, Logistic Regression, …

analysis arxiv cs.ai cs.cr cs.lg detection explainable ai intrusion intrusion detection