AI-Based Network Intrusion Detection

Project Overview

Advanced network security system leveraging SVM and Autoencoder models for real-time threat detection on SDN networks.

Key Features

• ML models: SVM and Autoencoder for threat detection
• Simulated network traffic with Mininet
• Live flow analysis using Ryu SDN controller
• Trained on CICIDS 2017 dataset for high accuracy
• Real-time threat response capabilities

Impact & Results

Demonstrated practical application of ML in cybersecurity with high-accuracy threat detection.