Adversarially Robust Network Intrusion Detection

Designed a network intrusion-detection pipeline combining Random Forest, XGBoost and neural network approaches within a multi-agent framework. Prepared NSL-KDD network-traffic data with categorical encoding and feature scaling to support model training and evaluation.