Trustworthy Analytics in ETSI ZSM: A 5G Security Case Study

Towards the advent of the sixth generation (6G) wireless networks, smart technologies play a key role in the end-to-end automation of services across multiple domains. In particular, they create a new reality with multiple benefits, including intent-driven management, ultra-speed communication services and holistic integration within the Internet of Things (IoT). In this context, the Zero-touch Network and Service Management (ZSM) group within the European Telecommunications Standards Institute (ETSI) aims to provide an architectural framework which will allow the zero-touch orchestration of network services in a multi-domain fashion. Therefore, in this paper, we investigate the role of cross-domain storage, communication and analytics services within the architectural framework of ETSI ZSM. For this purpose, we take into account a particular case study which focuses on the orchestration of security services within the 5G core. More specifically, the deployment of a new User Plane Function (UPF) equipped with intrusion detection services that leverage Artificial Intelligence (AI) is investigated. For this purpose, the aforementioned cross-domain services are used to assess the security of the respective AI models before the onboarding of the new UPF within the 5G core. Based on this case study, a new security game is investigated, exploring and modelling the strategies of potential attackers and defenders. Furthermore, the architectural design and implementation of the cross-domain services are provided. Finally, the evaluation results show that the cross-domain analytics services are able to assess the security and resilience of the AI models and guide the orchestration functions.

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Publication Details

Journal
IEEE Open Journal of the Communications Society
Published
2024-11-22
DOI
https://doi.org/10.1109/ojcoms.2024.3505555
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.35

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article

Trustworthy Analytics in ETSI ZSM: A 5G Security Case Study

Vasileios Argyriou, Dimitrios Klonidis, Panagiotis Radoglou‐Grammatikis, Panagiotis Sarigiannidis et al.
1 citations
IEEE Open Journal of the Communications Society
IoT and Edge/Fog Computing
0.35
article

Trustworthy Analytics in ETSI ZSM: A 5G Security Case Study

Vasileios Argyriou, Dimitrios Klonidis, Panagiotis Radoglou‐Grammatikis, Panagiotis Sarigiannidis, Θωμάς Λάγκας, Georgios P. Katsikas, Efklidis Katsaros, Evangelos Syrmos
article en
1 citations

Abstract

Towards the advent of the sixth generation (6G) wireless networks, smart technologies play a key role in the end-to-end automation of services across multiple domains. In particular, they create a new reality with multiple benefits, including intent-driven management, ultra-speed communication services and holistic integration within the Internet of Things (IoT). In this context, the Zero-touch Network and Service Management (ZSM) group within the European Telecommunications Standards Institute (ETSI) aims to provide an architectural framework which will allow the zero-touch orchestration of network services in a multi-domain fashion. Therefore, in this paper, we investigate the role of cross-domain storage, communication and analytics services within the architectural framework of ETSI ZSM. For this purpose, we take into account a particular case study which focuses on the orchestration of security services within the 5G core. More specifically, the deployment of a new User Plane Function (UPF) equipped with intrusion detection services that leverage Artificial Intelligence (AI) is investigated. For this purpose, the aforementioned cross-domain services are used to assess the security of the respective AI models before the onboarding of the new UPF within the 5G core. Based on this case study, a new security game is investigated, exploring and modelling the strategies of potential attackers and defenders. Furthermore, the architectural design and implementation of the cross-domain services are provided. Finally, the evaluation results show that the cross-domain analytics services are able to assess the security and resilience of the AI models and guide the orchestration functions.

IEEE Open Journal of the Communications SocietyVol. 6
New Bulgarian University (BG), Democritus University of Thrace (GR), Cyprus University of Technology (CY), Kingston University London (GB), Limassol General Hospital (CY), University of Western Macedonia (GR)
HORIZON EUROPE Framework Programme
Openalex Percentile: Top 36%
IoT and Edge/Fog Computing
0.35
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