README.md

metadata

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