Firewall Rule Automation Tool – Smart, Real-Time Home Network Protection

1. Introduction

The Firewall Rule Automation Tool for Home Network is a Python-based cybersecurity project developed to simplify and automate the configuration of firewall rules for local networks. It intelligently manages network security policies by analysing traffic patterns and automatically generating optimal firewall rules to block malicious activities while allowing legitimate connections. Designed for home and small office users, this tool minimizes manual configuration errors, enhances system protection, and provides a visual interface for real-time rule management.

2. Existing System vs Proposed System

3. Working

1. Traffic Monitoring: Continuously inspects incoming/outgoing packets.
2. Log Analysis: Flags repetitive or suspicious attempts via patterns.
3. Rule Generation: Auto-creates allow/block rules (IP/port/protocol).
4. Rule Deployment: Applies rules using system firewalls via Python subprocess/OS calls.
5. User Interface: View/modify/delete rules via GUI or web dashboard.
6. Reporting & Alerts: Periodic logs; optional notifications for blocked events.

4. Technology Stack

• Language: Python
• Libraries: psutil, socket, subprocess, scapy, tkinter/flask, pandas
• Backend: SQLite3 for rules & traffic logs
• Firewall Interface: Windows (PowerShell/netsh), Linux (iptables/ufw)
• Optional Add-ons: Email or Telegram alerts

5. Modules

6. Advantages

• Reduces manual configuration errors via automation.
• Blocks malicious activity in real time.
• User-friendly rule management for non-technical users.
• Cross-platform (Windows & Linux).
• Lightweight and customizable for home/small business.

7. Applications

• Home & small office network security automation.
• Educational/research projects for cybersecurity.
• Integration into routers or IoT gateways.
• Network management tools for professionals.

Python Integration Sketch (Windows & Linux)

# --- Traffic monitoring (scapy) ---
from scapy.all import sniff, IP, TCP, UDP
from collections import Counter
import subprocess, sys, sqlite3, time

threat_ips = Counter()

def packet_handler(pkt):
    try:
        if IP in pkt:
            src = pkt[IP].src
            dport = pkt[TCP].dport if TCP in pkt else (pkt[UDP].dport if UDP in pkt else None)
            # Simple heuristic: count hits to sensitive ports
            if dport in {22,23,445,3389,5353,1900}:
                threat_ips[src] += 1
    except Exception:
        pass

sniffer = sniff(prn=packet_handler, store=False)

# --- Decision & rule generation ---
BLOCK_THRESHOLD = 25  # tune per environment

def pick_block_candidates():
    return [ip for ip, cnt in threat_ips.items() if cnt >= BLOCK_THRESHOLD]

# --- Rule deployment helpers ---
def run(cmd):
    return subprocess.run(cmd, shell=True, capture_output=True, text=True)

def block_ip_windows(ip):
    return run(f'netsh advfirewall firewall add rule name="T2T_AutoBlock_{ip}" dir=in action=block remoteip={ip}')

def block_ip_linux(ip):
    # iptables example (IPv4)
    return run(f'sudo iptables -A INPUT -s {ip} -j DROP')

# --- Main loop ---
while True:
    for ip in pick_block_candidates():
        if sys.platform.startswith("win"):
            block_ip_windows(ip)
        else:
            block_ip_linux(ip)
        # log to sqlite
        # reset the counter to avoid duplicate rules
        threat_ips[ip] = 0
    time.sleep(10)
              

What You Get