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SecuNet 4D a comprehensive framework for distributed SDN security and resilience

Sumit Badotra, Mohan Gurusamy

2025Scientific Reports9 citationsDOIOpen Access PDF

Abstract

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 (<16 users) and large networks (>2000 users). This research work advances the security and reliability of SDN multi-controller architectures, pushing the boundaries for future network deployments.

Topics & Concepts

Resilience (materials science)Computer scienceComputer securityPhysicsThermodynamicsSoftware-Defined Networks and 5GNetwork Security and Intrusion DetectionSmart Grid Security and Resilience
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