surajiyer3/DDoS-Detection-SDN

This project is a classic academic/student implementation of a well-known security use case. With 27 stars over 7 years and zero current velocity, it serves primarily as a historical reference for applying SVMs to SDN traffic. There is no moat here; the SVM approach to DDoS is a standard textbook pattern that has been superseded in both research (by GNNs and transformers) and industry (by native cloud-provider DDoS protection like AWS Shield or Azure DDoS Protection). The technical depth is shallow, relying on commodity libraries like scikit-learn and simulated environments like Mininet. For an investor or technical analyst, this project represents a solved problem that is now integrated into the infrastructure layer of major cloud and SDN vendors (VMware NSX, Cisco). It is highly susceptible to displacement by any modern network security platform or even basic open-source IDS/IPS tools like Suricata or Snort which have more robust feature extraction and community support.