NETWORK_MONITORING

Network Guardian

A local network monitoring and attack mitigation dashboard built with Python. It captures live traffic, detects five attack types, uses a local LLM (via Ollama) to reason about threats, and automatically applies temporary IP route blocks — all visible in a real-time browser dashboard.

Live demo (GitHub Pages)

https://prasadadi18.github.io/NETWORK_MONITORING/

This is a simulation, not the running system. GitHub Pages serves static files only — it cannot run main.py, capture packets with Scapy, reach a local Ollama instance, or modify routing tables. The demo under docs/ reproduces the dashboard UI and replays the detection → LLM verdict → mitigation → auto-revert pipeline entirely in the browser, using the same thresholds, attack labels, and mitigation commands as the real backend. To see real traffic being captured and blocked, run python main.py locally as Administrator (see Run the dashboard below).

What this project does

• network_sniffer.py — captures traffic and extracts packet metadata using Scapy.
• attack_detector.py — detects ICMP flood, SYN flood, UDP flood, port scan, and fragmentation attacks using sliding-window counters.
• llm_analyzer.py — sends threat evidence to Ollama, receives a JSON verdict, and extracts the mitigation command.
• mitigator.py — applies a temporary IP route block (route add on Windows, ip route blackhole on Linux) and auto-reverts it after 60 seconds.
• main.py — Flask + Socket.IO dashboard; orchestrates all threads.
• attack_injector.py — injects test attacks over loopback for local testing.

Requirements

System dependencies

Dependency	Why	Windows	Linux
Python 3.11+	Runtime	python.org	sudo apt install python3
Npcap	Scapy needs it to capture packets	npcap.com — install with “WinPcap API-compatible mode” checked	sudo apt install libpcap-dev
Ollama	Local LLM backend	ollama.com/download	curl -fsSL https://ollama.com/install.sh \| sh

Admin / root privileges are required. Packet capture and IP route manipulation both need elevated permissions.

Python dependencies (requirements.txt)

• Flask
• Flask-SocketIO
• scapy
• requests
• rich

Setup

1. Install Npcap (Windows only)

Download from npcap.com and install it. Check “WinPcap API-compatible mode” during installation — Scapy requires it.

2. Install Ollama and pull the model

ollama pull tinyllama

Default model is tinyllama. You can use any model Ollama supports (e.g. llama3, mistral) by setting the OLLAMA_MODEL environment variable.

3. Navigate to the project folder

cd path\to\cnfinal

4. Create a Python virtual environment

python -m venv .venv

5. Activate the environment

.venv\Scripts\activate

6. Install dependencies

pip install -r requirements.txt

Run the dashboard

Step 1 — Start Ollama (in a separate terminal)

ollama serve

Ollama must be running at http://localhost:11434 before the app starts. Verify it is up:

curl http://localhost:11434/api/tags

If Ollama is unreachable, the system falls back to built-in rule-based analysis automatically — no crash.

Step 2 — (Optional) Find your network interface

If you want to sniff a specific interface instead of letting Scapy auto-detect:

python find_interface.py

This prints all available interfaces with their IP addresses. Note the name of the one you want to use.

Step 3 — Start the application (run as Administrator)

python main.py

On Windows, right-click your terminal and choose Run as administrator before activating the venv — route add requires elevation.

Optional flags:

--interface   Network interface to sniff (e.g. "NPF_Loopback"). Default: auto-detect.
--threshold   Packets/sec to trigger an alert. Default: 100.
--port        Web dashboard port. Default: 5000.

Example with flags:

python main.py --interface "NPF_Loopback" --threshold 50 --port 8080

Step 4 — Open the dashboard

http://localhost:5000

How to check the project

• The dashboard shows active blocks, threat count, and live packet feed.
• Click the attack buttons (ICMP Flood, SYN Flood, UDP Flood, Port Scan, Fragmentation, or All) to trigger detections.
• Use Flush All Blocks to manually clear all route blocks.
• Use Shutdown to stop the system cleanly.
• Activity is logged to guardian.log.

Command-line attack injection

You can also inject attacks manually without the browser:

python attack_injector.py --attack icmp_flood --rate 150 --duration 10
python attack_injector.py --attack syn_flood  --rate 80  --duration 10
python attack_injector.py --attack udp_flood  --rate 150 --duration 10
python attack_injector.py --attack port_scan  --ports 100
python attack_injector.py --attack fragmentation
python attack_injector.py --attack all --duration 5

All attacks use 203.0.113.50 (RFC 5737 TEST-NET) as the fake source IP so the detector can block it without refusing to block a loopback address.

Notes

• Security: mitigator.py never passes the LLM’s text directly to a shell. It validates the IP and constructs the OS command itself — no command injection risk.
• Auto-revert: Blocks are automatically removed after 60 seconds to avoid permanently breaking routing from a false positive.
• Windows route blocks: Uses route add <ip> mask 255.255.255.255 192.0.2.1 (RFC 5737 blackhole gateway).
• Linux route blocks: Uses ip route add blackhole <ip>/32.
• Log files: Remove or .gitignore guardian.log to avoid large log files in the repo.
• Environment variables:
  • OLLAMA_BASE_URL — Ollama endpoint, default http://localhost:11434
  • OLLAMA_MODEL — model name, default tinyllama
  • ALLOW_LOOPBACK_BLOCK=true — enables blocking loopback IPs (only needed if you override FAKE_ATTACKER_IP in attack_injector.py)

Useful checks

• Verify main.py starts without errors.
• Confirm the dashboard loads at http://localhost:5000.
• Trigger an attack and watch the threat panel update with the Ollama verdict.
• Inspect guardian.log for detector, LLM analyzer, and mitigator events.