Enhancing False Alarm Reduction in Network Traffic Anomaly Detection Using Ensemble Machine Learning
Abstract: This study proposes a robust ensemble learning framework to significantly reduce false alarms in binary intrusion detection using the CICIDS2017 dataset. The approach integrates mutual ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results