Please use this identifier to cite or link to this item:
Publication type: Conference paper
Type of review: Peer review (abstract)
Title: AI-enabled slice protection exploiting moving target defense in 6G networks
Authors: Christopoulou, Maria
Soussi, Wissem
Xilouris, George
Gür, Gürkan
Montes de Oca, Edgardo
Koumaras, Harilaos
Stiller, Burkhard
et. al: No
DOI: 10.21256/zhaw-22969
Conference details: 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), online, 8-11 June 2021
Issue Date: Jun-2021
Publisher / Ed. Institution: ZHAW Zürcher Hochschule für Angewandte Wissenschaften
Language: English
Subjects: 6G/Beyond 5G networks; Security; Moving Target Defense (MTD); AI/ML; Network softwarization; Network slicing
Subject (DDC): 004: Computer science
Abstract: As commercial 5G roll-outs continue progressing, research efforts are shifting toward requirements, challenges, and critical enablers for prospective 6G networks. The introduction of Artificial Intelligence (AI) support in 5G will be further exploited, rendering AI a key enabler for providing automated network management and orchestration, while improving the network resilience against potential threat actors. Therefore, it is crucial to investigate smart security schemes in “Beyond 5G” networks. This paper presents a use case for the proactive and reactive defense of end-to-end network slices that relies on AI-based attack detection to apply Moving Target Defense (MTD) policies based on an innovative framework.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Published as part of the ZHAW project: INtelligent Security and PervasIve tRust for 5G and Beyond (INSPIRE-5Gplus)
Appears in collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
2021_Christopoulou-etal_AI-enabled-slice-protection.pdf155.28 kBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.