Distributed AI-based security for massive numbers of network slices in 5G beyond mobile systems

dc.contributorAalto Universityen
dc.contributor.authorChafika, Benzaiden_US
dc.contributor.authorTaleb, Tariken_US
dc.contributor.authorPhan, Cao Thanhen_US
dc.contributor.authorTselios, Christosen_US
dc.contributor.authorTsolis, Georgeen_US
dc.contributor.departmentDepartment of Communications and Networkingen
dc.contributor.groupauthorMobile Network Softwarization and Service Customizationen
dc.contributor.organizationCitrix Systems, Inc.en_US
dc.descriptionFunding 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
dc.description.abstractThe 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.en
dc.description.versionPeer revieweden
dc.identifier.citationChafika, 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/6GSummit51104.2021.9482418en
dc.identifier.otherPURE UUID: 67d63377-8c19-41c0-9531-ac89b8dcfaf8en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/67d63377-8c19-41c0-9531-ac89b8dcfaf8en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85112618262&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/67029650/ELEC_Benzaid_etal_Distributed_AI_based_Security_for_Massive_Numbers_EuCNC6G_Summit_2021_acceptedauthormanuscript.pdfen_US
dc.relation.ispartofEuropean Conference on Networks and Communicationsen
dc.relation.ispartofseries2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021en
dc.relation.ispartofseriesEuropean conference on networks and communicationsen
dc.titleDistributed AI-based security for massive numbers of network slices in 5G beyond mobile systemsen
dc.typeConference article in proceedingsfi