A GPU-accelerated network traffic analysis system for early DDoS detection and mitigation. The system combines OpenCL-based entropy detection with a lightweight neural network classifier to identify malicious flows in near real time and applies RTBH and iptables-style ACL mitigation strategies.

Random Forest-Based Intrusion Detection & Prevention System (IDPS) A machine learning-powered IDPS that detects and mitigates Denial-of-Service (DoS) attacks in corporate networks using the CIC-DDoS2019 dataset. Features a Random Forest model, modular design, and an interactive GUI for real-time monitoring and alerts.