network traffic analysis

Turn multi‑GB pcaps from overwhelm to insight by pairing Wireshark/TShark with a lightweight Isolation Forest in Bash: export packet fields to CSV, aggregate 5‑tuple flows, score anomalies (pps/bps/bytes/duration), then pivot back with precise filters in Wireshark. The guide includes apt/dnf/zypper installs, a Python venv, ready-to-run scripts, real-world pivots, and tuning tips to automate fast triage.

Guide for full stack devs and sysadmins to build AI-driven network traffic analysis pipelines on Linux using Bash: capture packets with tcpdump, convert PCAPs to CSV via tshark, engineer features, train/evaluate ML models in Python (scikit-learn/TensorFlow) for anomaly detection, and automate end-to-end workflows with scripts and cron; includes setup commands, sample code, and resources for deeper learning.