Applied Sciences (Dec 2023)

Detection and Mitigation of Security Threats Using Virtualized Network Functions in Software-Defined Networks

  • Manuel Domínguez-Dorado,
  • Jesús Calle-Cancho,
  • Jesús Galeano-Brajones,
  • Francisco-Javier Rodríguez-Pérez,
  • David Cortés-Polo

DOI
https://doi.org/10.3390/app14010374
Journal volume & issue
Vol. 14, no. 1
p. 374

Abstract

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The evolution of interconnected systems and the evolving demands in service requirements have led to data centers integrating multiple heterogeneous technologies that must coexist. Consequently, the resource management and the security of the infrastructure are becoming more complex than in traditional scenarios. In this context, technologies such as Software-Defined Networking (SDN) or Network Function Virtualization (NFV) are being embraced as mechanisms that facilitate communication management. The integration of both technologies into a single framework, termed Software-Defined NFV (SDNFV) introduces a multitude of tools for managing the security of the data center’s resources. This work delineates the primary characteristics of the evolution of these communication networks and their application to information security and communications within a data center. It presents an illustrative use case demonstrating the application of these next-generation technologies to detect and mitigate a security issue through virtualized network functions deployed in containers.

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