ThreatFormer-IDS: Robust Transformer Intrusion Detection with Zero-Day Generalization and Explainable Attribution

Researchers developed ThreatFormer-IDS, a Transformer-based intrusion detection system that achieves robust cybersecurity monitoring for IoT and industrial networks. The system demonstrates superior performance in detecting zero-day attacks while providing explainable threat attribution, achieving 99.4% AUC-ROC on benchmark tests.