SecuNet 4D a comprehensive framework for distributed SDN security and resilience
Sumit Badotra, Mohan Gurusamy · Scientific Reports · 2025
As networks evolve in complexity, distributed Software-Defined Networking (SDN) architectures with multiple controllers are essential for scalability and resilience. In this research, we propose a unified framework, SecuNet-4D Detection, designed for defense, distribution, and dynamic adaptation in distributed SDN systems. To protect data exchange between distributed multiple SDN controllers, an encryption technique is implemented, demonstrating that 98.5% of interception and spoofing attacks are prevented with minimal delay overhead. We devise new uniform mechanisms to eliminate contradictions, thereby reducing conflicts by approximately 87% and achieving policy synchronization within 50 ms at the system level. Additionally, a real-time threat detection system is deployed, achieving 95% detection accuracy and an average response time of less than 1 second for emerging threats. Redundant failover plans ensure continuous network services, reducing downtime by up to 90%, even in the case of controller failures. Furthermore, the proposed framework presents flexible and scalable security solutions capable of accommodating various network sizes and functioning effectively for both small networks (2000 users). This research work advances the security and reliability of SDN multi-controller architectures, pushing the boundaries for future network deployments.