---
title: Network Intrusion Detection
emoji: 🚨
colorFrom: red
colorTo: blue
sdk: gradio
sdk_version: 3.50.0
app_file: app.py
pinned: false
---

# 🚨 Network Intrusion Detection System

A real-time AI-powered system that detects malicious network traffic and classifies attack types using a CNN model trained on the KDD Cup 1999 dataset.

## 🔍 Features

- **Real-time detection** of 40+ attack types
- **Multi-class classification** (not just binary)
- **High accuracy** (~97% on test data)
- **Attack type identification** with confidence scores

## 🛡️ Attack Types Detected

- **DoS Attacks**: neptune, smurf, teardrop, pod, back
- **Probing Attacks**: portsweep, ipsweep, nmap, satan
- **R2L Attacks**: guess_passwd, warezclient, imap, ftp_write
- **U2R Attacks**: buffer_overflow, rootkit, loadmodule

## 🚀 Usage

1. Enter network traffic features
2. Click "Submit" 
3. Get instant classification with confidence scores
4. View top 3 predictions

## 📊 Model Performance

- Test Accuracy: ~97%
- Multi-class F1 Score: ~96%
- Training Data: KDD Cup 1999 dataset
- Model: Custom CNN with 3 convolutional layers