Monitoring an ML-Based Intrusion Detection System on AWS SageMaker
1. What We Are Building We are going to deploy a Random Forest classifier trained on the UNSW-NB15 dataset as a real-time network intrusion detection system (IDS). The model classifies live network flows into either Normal traffic or one of nine attack categories: Fuzzers, Analysis, Backdoors, DoS
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