DCSS protocol for data caching and sharing security in a 5G network

Edris, Ed Kamya Kiyemba, Aiash, Mahdi ORCID logoORCID: https://orcid.org/0000-0002-3984-6244 and Loo, Jonathan ORCID logoORCID: https://orcid.org/0000-0002-2197-8126 (2021) DCSS protocol for data caching and sharing security in a 5G network. Network, 1 (2) . pp. 75-94. ISSN 2673-8732 [Article] (doi:10.3390/network1020006)

PDF - Published version (with publisher's formatting)
Available under License Creative Commons Attribution 4.0.

Download (659kB) | Preview


Fifth Generation mobile networks (5G) promise to make network services provided by various Service Providers (SP) such as Mobile Network Operators (MNOs) and third-party SPs accessible from anywhere by the end-users through their User Equipment (UE). These services will be pushed closer to the edge for quick, seamless, and secure access. After being granted access to a service, the end-user will be able to cache and share data with other users. However, security measures should be in place for SP not only to secure the provisioning and access of those services but also, should be able to restrict what the end-users can do with the accessed data in or out of coverage. This can be facilitated by federated service authorization and access control mechanisms that restrict the caching and sharing of data accessed by the UE in different security domains. In this paper, we propose a Data Caching and Sharing Security (DCSS) protocol that leverages federated authorization to provide secure caching and sharing of data from multiple SPs in multiple security domains. We formally verify the proposed DCSS protocol using ProVerif and applied pi-calculus. Furthermore, a comprehensive security analysis of the security properties of the proposed DCSS protocol is conducted.

Item Type: Article
Keywords (uncontrolled): 5G, security protocol, network services, federated identity, data caching, data sharing, authorization, formal methods, ProVerif, applied pi calculus
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 33475
Notes on copyright: Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
Useful Links:
Depositing User: Mahdi Aiash
Date Deposited: 05 Jul 2021 11:13
Last Modified: 09 Jul 2021 14:33
URI: https://eprints.mdx.ac.uk/id/eprint/33475

Actions (login required)

View Item View Item


Activity Overview
6 month trend
6 month trend

Additional statistics are available via IRStats2.