Voronoi partitioning for secure zone isolation in software-defined cyber perimeters

In this paper, the authors have examined how the Voronoi partitioning technique can be used to improve the isolation of secure zones in software-defined cyber perimeters. As cybersecurity challenges continue to evolve, traditional network defense systems often lack the dynamic flexibility required by Software-Defined Networking (SDN). This study examines the role of Voronoi partitioning in effectively partitioning networks into secure areas, where new, more effective, and real-time containment of potential threats can be performed. The methodology involves gathering data in simulated SDN environments and then examining security breaches before and after applying Voronoi partitioning. Results show that Voronoi-based zone isolation is a far better model of containment of the threat since it is highly adaptable to network topology variations, hence providing a better defense against both internal and external attacks. The research finds that the Voronoi partitioning is a promising finding, which is scalable in securing SDNs and may be pivotal in future cybersecurity improvements in the software-defined architectures.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17797030
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.00
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article

Voronoi partitioning for secure zone isolation in software-defined cyber perimeters

Zenodo (CERN European Organization for Nuclear Research)
Software-Defined Networks and 5G
article

Voronoi partitioning for secure zone isolation in software-defined cyber perimeters

article en

Abstract

In this paper, the authors have examined how the Voronoi partitioning technique can be used to improve the isolation of secure zones in software-defined cyber perimeters. As cybersecurity challenges continue to evolve, traditional network defense systems often lack the dynamic flexibility required by Software-Defined Networking (SDN). This study examines the role of Voronoi partitioning in effectively partitioning networks into secure areas, where new, more effective, and real-time containment of potential threats can be performed. The methodology involves gathering data in simulated SDN environments and then examining security breaches before and after applying Voronoi partitioning. Results show that Voronoi-based zone isolation is a far better model of containment of the threat since it is highly adaptable to network topology variations, hence providing a better defense against both internal and external attacks. The research finds that the Voronoi partitioning is a promising finding, which is scalable in securing SDNs and may be pivotal in future cybersecurity improvements in the software-defined architectures.

Zenodo (CERN European Organization for Nuclear Research)
Film Independent (US)
Openalex Percentile: Top 39%
Software-Defined Networks and 5G
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