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Publication type: Conference paper
Type of review: Peer review (publication)
Title: Liability-aware security management for 5G
Authors: Gaber, Chrystel
Vilchez, Jose Sanchez
Gür, Gürkan
Chopin, Morgan
Perrot, Nancy
Grimault, Jean-Luc
Wary, Jean-Philippe
et. al: No
DOI: 10.1109/5GWF49715.2020.9221407
Proceedings: 2020 IEEE 3rd 5G World Forum (5GWF)
Page(s): 133
Pages to: 138
Conference details: 3rd 5G World Forum (5GWF), Online, 10 September - 2 November 2020
Issue Date: Sep-2020
Publisher / Ed. Institution: IEEE
ISBN: 978-1-7281-7299-6
Language: English
Subjects: 5G network; Liability; Network slicing; Trust and reputation model; Security SLA (SSLA)
Subject (DDC): 004: Computer science
Abstract: Multi-party and multi-layer nature of 5G networks implies the inherent distribution of management and orchestration decisions across multiple entities. Therefore, responsibility for management decisions concerning end-to-end services become blurred if no efficient liability and accountability mechanism is used. In this paper, we present the design, building blocks and challenges of a Liability-Aware Security Management (LASM) system for 5G. We describe how existing security concepts such as manifests and Security-by-Contract, root cause analysis, remote attestation, proof of transit, and trust and reputation models can be composed and enhanced to take risk and responsibilities into account for security and liability management.
Further description: ​© 2020 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.
Fulltext version: Submitted 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

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