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, Exploits, Generic, Reconnaissance, Shellcode, and Worms. Once deployed, we will configure SageMake
Monitoring an ML-Based Intrusion Detection System on AWS SageMaker
Hilda Ogamba·Dev.to··1 min read
D
Continue reading on Dev.to
This article was sourced from Dev.to's RSS feed. Visit the original for the complete story.