Vashisht Urgonda

From KNN to Ensemble Learning: Advancing Real-Time Network Intrusion Detection with Asymmetric SMOTE-ENN Balancing on the CSE-CIC-IDS2018 Benchmark

The increasing occurrence and sophistication of attacks on current enterprise-grade computer networks require the development of IDSs with real-time, per-flow traffic categorization capability while ensuring a low rate of false positives. Most traditional architectures based on machine learning models are typically pla...