Performance Enhancement of SDN Using Machine Learning

Built a complete Software Defined Networking (SDN) environment to enhance network performance and security.

Key Solutions: * SDN Architecture: Deployed a full environment using Mininet, Ryu Controller, and OpenFlow protocol. * Security: Developed ML models (Random Forest & Isolation Forest) to detect DDoS attacks with 97.8% accuracy. * Optimization: Automated QoS policies for congestion control and optimized bandwidth through LACP EtherChannel.