Distributed AI-based security for massive numbers of network slices in 5G beyond mobile systems
Loading...
Access rights
openAccess
acceptedVersion
URL
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Date
Major/Subject
Mcode
Degree programme
Language
en
Pages
6
Series
2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021, pp. 401-406, European conference on networks and communications
Abstract
The envisioned massive deployment of network slices in 5G and beyond mobile systems makes the shift towards zero-touch, scalable and secure slice lifecycle management a necessity. This is to harvest the benefits of network slicing in enabling profitable services. These benefits will not be attained without ensuring a high level security of the created network slices and the underlying infrastructure, above all in a zero-touch automated fashion. In this vein, this paper presents the architecture of an innovative network slicing security orchestration framework, being developed within the EU H2020 MonB5G project. The framework leverages the potential of Security as a Service (SECaaS) and Artificial Intelligence (AI) to foster fully-distributed, autonomic and fine-grained management of network slicing security from the node level to the end-to-end and inter-slice levels.Description
Funding Information: The MonB5G project is currently developing the key frame-work’s components, which will be integrated and tested in the overall MonB5G’s network slicing management and orchestration architecture. The effectiveness the proposed framework will be evaluated according to different KPI, including the capacity to detect, contain and eradicate attacks, the deployment time, its scalability and the impact on service performance. ACKNOWLEDGMENT This work has been supported by the EU project MonB5G (under the Grant Agreement No. 871780). The views and opinions are those of the authors and do not necessary reflect the official position of Citrix Systems Inc. Publisher Copyright: © 2021 IEEE. | openaire: EC/H2020/871780/EU//MonB5G
Keywords
Other note
Citation
Chafika, B, Taleb, T, Phan, C T, Tselios, C & Tsolis, G 2021, Distributed AI-based security for massive numbers of network slices in 5G beyond mobile systems. in 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021., 9482418, European conference on networks and communications, IEEE, pp. 401-406, European Conference on Networks and Communications, Porto, Portugal, 08/06/2021. https://doi.org/10.1109/EuCNC/6GSummit51104.2021.9482418