Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems

no code implementations • 18 Jan 2024 • Jesse Ables, Nathaniel Childers, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale

The contributions of this work include the hybrid X-IDS architecture, the eclectic rule extraction algorithm applicable to intrusion detection datasets, and a thorough analysis of performance and explainability, demonstrating the trade-offs involved in rule extraction speed and accuracy.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +2