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5Growth: Secure and Reliable Network Slicing for Verticals

Authors :
Cunha, Vitor A. Maroulis, Nikolaos Papagianni, Chrysa and Sacido, Javier Jimenez, Manuel Ubaldi, Fabio Gharbaoui, Molka Chang, Chia-Yu Koursiounipas, Nikolaos Tomakh, Konstantin Corujo, Daniel Barraca, Joao P. Barmpounakis, Sokratis Kucherenko, Denys Giorgetti, Alessio Boddi, Andrea and Valcarenghi, Luca Kolodiazhnyi, Oleksii Zabala, Aitor and Salvat, Josep Xavier Garcia-Saavedra, Andres
Publication Year :
2021
Publisher :
IEEE Comput. Soc, 2021.

Abstract

Network slicing is well-recognized as a core 5G technology to enable heterogeneous vertical services sharing the same infrastructure. In this context, the H2020 5Growth project extends baseline 5G management and orchestration platforms to manage the life-cycle of real end-to-end, reliable, and secure network slices with performance guarantees. In this paper, we present 5Growth's approaches to (i) attain isolation across network slices, (ii) provide secure interfaces towards third parties, and (iii) exploit AI/ML to achieve reliability through automated anomaly detection. In our quest towards validating full-fledged 5G pilots, we demonstrate our slicing mechanisms in PoCs that include interacting with ICT-17 infrastructure.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od......2127..2db45afd7a24733b16def7255693b9fb