Measuring Security Posture in 5G and Future Networks

An essential condition for maintaining and improving the security posture of a system is the ability to effectively measure and monitor its security state. In this work we address the need for an objective measurement of the security state of 5G and future networks. We introduce a state machine model designed to capture the security life cycle of network functions and the transitions between different states within the life cycle. Such a model can be computed locally at each node, or hierarchically, by aggregating measurements into security domains or the whole network. We identify three essential security metrics – attack surface exposure, impact of system vulnerabilities, and effectiveness of applied security controls – that collectively form the basis for calculating the overall security score. Through practical examples, we illustrate the real-world application of our proposed methodology, offering valuable insights for developing risk management and informed decision-making strategies in 5G and 6G security operations and laying the foundation for effective security management in the expected dynamic threat landscape of 6G networks.

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Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/fnwf63303.2024.11028864
Citations
2
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.70
Controls
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article

Measuring Security Posture in 5G and Future Networks

Daniel Cho, Filippo Rebecchi, Loay Abdelrazek, Rim ElMalki
2 citations
Software-Defined Networks and 5G
0.70
article

Measuring Security Posture in 5G and Future Networks

Daniel Cho, Filippo Rebecchi, Loay Abdelrazek, Rim ElMalki
article en
2 citations

Abstract

An essential condition for maintaining and improving the security posture of a system is the ability to effectively measure and monitor its security state. In this work we address the need for an objective measurement of the security state of 5G and future networks. We introduce a state machine model designed to capture the security life cycle of network functions and the transitions between different states within the life cycle. Such a model can be computed locally at each node, or hierarchically, by aggregating measurements into security domains or the whole network. We identify three essential security metrics – attack surface exposure, impact of system vulnerabilities, and effectiveness of applied security controls – that collectively form the basis for calculating the overall security score. Through practical examples, we illustrate the real-world application of our proposed methodology, offering valuable insights for developing risk management and informed decision-making strategies in 5G and 6G security operations and laying the foundation for effective security management in the expected dynamic threat landscape of 6G networks.

Ericsson (Sweden) (SE)
Openalex Percentile: Top 25%
Software-Defined Networks and 5G
0.70
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Measuring Security Posture in 5G and Future Networks — Daniel Cho, Filippo Rebecchi, et al. · (2024) | TGRS Research Map | TGRS