Conference
Open access
May 2026
A Calibrated and Explainable Bimodal Machine Learning Framework for Hybrid Intrusion Detection
Modern communication systems face critical gaps in detecting unknown attacks and rare threat classes due to extreme data imbalance and black-box decision logic. We propose a bimodal framework of calibrated and explainable machine learning (ML) for network security, unifying known-class precision with open-set generaliz...
Hafsa Aslam, Yue Li, Saba Aslam et al.
· International Conference on... · 0 citations