ZSM Framework for Autonomous Security Service Level Agreement Life-Cycle Management in B5G Networks

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Dades bibliogràfiques
Publicat a:	Future Internet vol. 17, no. 2 (2025), p. 86
Autor principal:	Asensio-Garriga, Rodrigo
Altres autors:	Alejandro Molina Zarca, Ortiz, Jordi, Hermosilla, Ana, Pascual, Hugo Ramón, Pastor, Antonio, Skarmeta, Antonio
Publicat:	MDPI AG
Matèries:	Agreements Network function virtualization Wireless networks Infrastructure Security management Harnesses 5G mobile communication Edge computing Closed loops Architecture Security services Automation Machine learning Cybersecurity Heterogeneity
Accés en línia:	Citation/Abstract Full Text + Graphics Full Text - PDF
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Descripció
Resum:	In the rapidly evolving landscape of telecommunications, the integration of commercial 5G solutions and the rise of edge computing have reshaped service delivery, emphasizing the customization of requirements through network slices. However, the heterogeneity of devices and technologies in 5G and beyond networks poses significant challenges, particularly in terms of security management. Addressing this complexity, our work adopts the Zero-touch network and Service Management (ZSM) reference architecture to enable end-to-end automation of security and service management in Beyond 5G networks. This paper introduces the ZSM-based framework, which harnesses software-defined networking, network function virtualization, end-to-end slicing, and orchestration paradigms to autonomously enforce and preserve security service level agreements (SSLAs) across multiple domains that make up a 5G network. The framework autonomously manages end-to-end security slices through intent-driven closed loops at various logical levels, ensuring compliance with ETSI end-to-end network slice management standards for 5G communication services. The paper elaborates with an SSLA-triggered use case comprising two phases: proactive, wherein the framework deploys and configures an end-to-end security slice tailored to the security service level agreement specifications, and reactive, where machine learning-trained security mechanisms autonomously detect and mitigate novel beyond 5G attacks exploiting open-sourced 5G core threat vectors. Finally, the results of the implementation and validation are presented, demonstrating the practical application of this research. Interestingly, these research results have been integrated into the ETSI ZSM Proof of Concept #6: ’Security SLA Assurance in 5G Network Slices’, highlighting the relevance and impact of the study in the real world.
ISSN:	1999-5903
DOI:	10.3390/fi17020086
Font:	ABI/INFORM Global