softwaredefined networking

A practical, low-cost guide to “AI for networking” on Linux: spin up a reproducible lab with ip netns, generate traffic with iperf3, capture pcaps with tcpdump, extract flow features in Python (scapy), train a Random Forest to classify short vs bulk flows, and run live anomaly detection with Isolation Forest—complete with apt/dnf/zypper installs, scripts, and ops-friendly tips to automate and deploy safely.