C. Benzaïd, T. Taleb and J. Song, "AI-Based Autonomic and Scalable Security Management Architecture for Secure Network Slicing in B5G," in IEEE Network, vol. 36, no. 6, pp. 165-174, November/December 2022, doi: 10.1109/MNET.104.2100495
AI-based autonomic & scalable security management architecture for secure network slicing in B5G
|Author:||Benzaïd, Chafika1; Taleb, Tarik1,2; Song, JaeSeung2|
1University of Oulu, Oulu, Finland
2Sejong University, Seoul, South Korea
|Online Access:||PDF Full Text (PDF, 2.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022092660156
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2022-09-26
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.
|Pages:||165 - 174|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
113 Computer and information sciences
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 (Academy of Finland Funding decision)
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.