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

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.

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Publication Details

Journal
Scientific Reports
Published
2025-05-08
DOI
https://doi.org/10.1038/s41598-025-98649-x
Citations
6
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
8.92

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article

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

Sumit Badotra, Mohan Gurusamy
6 citations
Scientific Reports
Software-Defined Networks and 5G
8.92
article

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

Sumit Badotra, Mohan Gurusamy
article en
6 citations

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.

Scientific ReportsVol. 15(1)
National University of Singapore (SG)
Cisco Systems, National University of Singapore
Climate action
Openalex Percentile: Top 2%
Software-Defined Networks and 5G
8.92
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SecuNet 4D a comprehensive framework for distributed SDN security and resilience — Sumit Badotra, Mohan Gurusamy · Scientific Reports (2025) | TGRS Research Map | TGRS