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Toward pre-standardization of reputation-based trust models beyond 5G

Jorquera Valero, José María; Sánchez Sánchez, Pedro Miguel; Gil Pérez, Manuel; Huertas Celdrán, Alberto; Martínez Pérez, Gregorio (2022). Toward pre-standardization of reputation-based trust models beyond 5G. Computer Standards and Interfaces, 81:103596.

Abstract

In the last years, the number of connections in mobile telecommunication networks has increased rampantly, and in consequence, the number and type of relationships among entities. Should such interactions are to be profitable, entities will need to rely on each other. Hence, mobile telecommunication networks demand trust and reputation models that allow developing feasible communications in 5G and beyond networks, through which a group of entities can establish chains of services between cross-operators/domains, with security and trustworthiness. One of the key obstacles to achieving generalized connectivity beyond 5G networks is the lack of automatized, efficient, and scalable models for establishing security and trust. In this vein, this article proposes a pre-standardization approach for reputation-based trust models beyond 5G. To this end, we have realized a thorough review of the literature to match trust standardization approaches. An abstract set of requirements and key performance indicators has been extracted, and some pre-standardization recommendations proposed to fulfill essential conditions of future networks and to cover the lack of common trust and reputation models beyond 5G.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Hardware and Architecture
Social Sciences & Humanities > Law
Scope:Discipline-based scholarship (basic research)
Language:English
Date:April 2022
Deposited On:15 Mar 2022 06:35
Last Modified:18 Mar 2025 04:34
Publisher:Elsevier
ISSN:0920-5489
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1016/j.csi.2021.103596
Official URL:https://www.sciencedirect.com/science/article/pii/S092054892100091X
Other Identification Number:merlin-id:21879
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