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

Benzaid Chafika; Tarik Taleb; Cao Thanh Phan; Christos Tselios; George Tsolis

doi:10.1109/EuCNC/6GSummit51104.2021.9482418

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

Benzaid Chafika^*, Tarik Taleb, Cao Thanh Phan, Christos Tselios, George Tsolis

^*Tämän työn vastaava kirjoittaja

Mobile Network Softwarization and Service Customization

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

5 Sitaatiot (Scopus)

88 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021
Kustantaja	IEEE
Sivut	401-406
Sivumäärä	6
ISBN (elektroninen)	978-1-6654-1526-2
DOI - pysyväislinkit	https://doi.org/10.1109/EuCNC/6GSummit51104.2021.9482418
Tila	Julkaistu - 28 heinäk. 2021
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	European Conference on Networks and Communications - Porto, Portugali Kesto: 8 kesäk. 2021 → 11 kesäk. 2021

Julkaisusarja

Nimi	European conference on networks and communications
ISSN (painettu)	2475-6490
ISSN (elektroninen)	2575-4912

Conference

Conference	European Conference on Networks and Communications
Lyhennettä	EuCNC
Maa/Alue	Portugali
Kaupunki	Porto
Ajanjakso	08/06/2021 → 11/06/2021

Pääsy asiakirjaan

10.1109/EuCNC/6GSummit51104.2021.9482418

ELEC_Benzaid_etal_Distributed_AI-based_Security_for_Massive_Numbers_EuCNC6G Summit_2021_acceptedauthormanuscriptAccepted author manuscript, 568 KB

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Linkki julkaisuun Scopuksessa

MonB5G: Distributed management of Network Slices in beyond 5G
Taleb, T., Benzaid, C., Boudi, A., Boukhalfa, M., Hireche, O., Kianpisheh, S., Nait Abbou, A., Nadir, Z., Farooqi, M., Mada, B. & Yu, H.
01/11/2019 → 31/10/2022
Projekti: EU: Framework programmes funding

Siteeraa tätä

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. teoksessa 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021 (Sivut 401-406). [9482418] (European conference on networks and communications). IEEE. https://doi.org/10.1109/EuCNC/6GSummit51104.2021.9482418

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

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.",

author = "Benzaid Chafika and Tarik Taleb and Phan, {Cao Thanh} and Christos Tselios and George Tsolis",

note = "Funding Information: The MonB5G project is currently developing the key frame-work{\textquoteright}s components, which will be integrated and tested in the overall MonB5G{\textquoteright}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: {\textcopyright} 2021 IEEE. | openaire: EC/H2020/871780/EU//MonB5G; European Conference on Networks and Communications, EuCNC ; Conference date: 08-06-2021 Through 11-06-2021",

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Chafika, B, Taleb, T, Phan, CT, Tselios, C & Tsolis, G 2021, Distributed AI-based security for massive numbers of network slices in 5G beyond mobile systems. julkaisussa 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021., 9482418, European conference on networks and communications, IEEE, Sivut 401-406, European Conference on Networks and Communications, Porto, Portugali, 08/06/2021. https://doi.org/10.1109/EuCNC/6GSummit51104.2021.9482418

Distributed AI-based security for massive numbers of network slices in 5G beyond mobile systems. / Chafika, Benzaid; Taleb, Tarik; Phan, Cao Thanh et al.

2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021. IEEE, 2021. s. 401-406 9482418 (European conference on networks and communications).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

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T1 - Distributed AI-based security for massive numbers of network slices in 5G beyond mobile systems

AU - Chafika, Benzaid

AU - Taleb, Tarik

AU - Phan, Cao Thanh

AU - Tselios, Christos

AU - Tsolis, George

N1 - 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

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Y1 - 2021/7/28

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:85112618262

T3 - European conference on networks and communications

SP - 401

EP - 406

BT - 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021

PB - IEEE

T2 - European Conference on Networks and Communications

Y2 - 8 June 2021 through 11 June 2021

ER -

Chafika B, Taleb T, Phan CT, Tselios C, Tsolis G. Distributed AI-based security for massive numbers of network slices in 5G beyond mobile systems. julkaisussa 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021. IEEE. 2021. s. 401-406. 9482418. (European conference on networks and communications). doi: 10.1109/EuCNC/6GSummit51104.2021.9482418

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

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Julkaisusarja

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Projektit

MonB5G: Distributed management of Network Slices in beyond 5G

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