
Training a supervised model with noise data improves the detection of unknown attacks in IDS.


coremsg

effectiveness-of-rf-model-trained-with-noise-in-detecting-unknown-attacks-in-ids-framework


Effectiveness of RF Model Trained with Noise in Detecting Unknown Attacks in IDS Framework



Supervised learning models, such as Random Forest, can effectively detect unknown attacks when trained with noise data in IDS frameworks.



usfAD Based Effective Unknown Attack Detection Focused IDS Framework: Evaluating the Impact of Noise Data on Supervised Learning Models
