University of Oulu

C. Benzaid, T. Taleb and J. Song, "AI-based Autonomic & Scalable Security Management Architecture for Secure Network Slicing in B5G," in IEEE Network, doi: 10.1109/MNET.104.2100495.

AI-based autonomic & scalable security management architecture for secure network slicing in B5G

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Author: Benzaïd, Chafika1; Taleb, Tarik1,2; Song, JaeSeung2
Organizations: 1University of Oulu, Oulu, Finland
2Sejong University, Seoul, South Korea
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 2.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022092660156
Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2022-09-26
Description:

Abstract

The vital importance of securing 5G and beyond networks while meeting their stringent performance requirements has promoted the recent shift towards fully automated and smart security management. In this paper, we introduce a novel autonomic and cognitive security management framework that empowers fine-grained zero-touch security management through different levels (i.e., network functions, sub-slice, and slice) and different administrative and technological domains. We showcase the compliance of the proposed framework with the ongoing standards (e.g., ZSM, 3GPP, and NFV) and demonstrate its feasibility by advocating for potential open source solutions to implement its functional blocks in a cloud-native service-based environment.

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Series: IEEE network
ISSN: 0890-8044
ISSN-E: 1558-156X
ISSN-L: 0890-8044
Volume: In press
DOI: 10.1109/mnet.104.2100495
OADOI: https://oadoi.org/10.1109/mnet.104.2100495
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Subjects:
6G
AI
NFV
Funding: This work was supported in part by the AoF Project 6Genesis Flagship (Grant No. 346208), and the EU’s Horizon 2020 research and innovation programme under the INSPIRE-5Gplus project (Grant No. 871808) and the CHARITY project (Grant No. 101016509). Prof. Song was supported by the Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (Grant No. 2020-0-00959, IoT Platform for Boosting On-device AI in 5G Environment).
EU Grant Number: (871808) INSPIRE-5Gplus - INtelligent Security and PervasIve tRust for 5G and Beyond
Academy of Finland Grant Number: 346208
Detailed Information: 346208 (Academy of Finland Funding decision)
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