Enhancing Network Security through Software-Defined Networking and Artificial Intelligence

Thesis Abstract

Abstract


The evolving landscape of network security demands innovative approaches to combat sophisticated threats. This research focuses on the synergistic use of Software-Defined Networking (SDN) and Artificial Intelligence (AI) to enhance network security. The study commences with an extensive review of network security, SDN, AI applications, and existing challenges. A comprehensive methodology for security requirements analysis, SDN implementation, AI integration, and performance evaluation is presented. The implementation phase involves the deployment of SDN for security enhancement, integration of AI-based threat detection and response mechanisms, and performance analysis. The results are compared with traditional security measures and visualized to demonstrate the improvements achieved. The thesis concludes with a summary of research contributions, implications, and recommendations for future work in the field of network security through SDN and AI. This research is expected to provide valuable insights and practical solutions for addressing security concerns in modern networks.