Preventing Network Attacks using Support Vector Machine (SVM) and Software Defined Networking (SDN) Integration

In our modern landscape, network security is paramount. This article presents an innovative strategy merging Linear Support Vector Machines (SVM) with Software-Defined Networking (SDN) in a Mininet environment. We tested our approach using simulated attacks with Kali Linux and R Studio, extracting insights from a Kaggle dataset. Our Linear SVM model achieved a remarkable 93% accuracy in distinguishing network attacks from benign activity. Transitioning to multi-controller SDN architecture with Ryu controller unleashed network potential. In conclusion, our work pioneers a new era of network security, showcasing the synergy of Linear SVMs and SDN within Mininet, offering a beacon of protection in an evolving digital landscape.