Securing Distributed Systems: A Survey on Access Control Techniques for Cloud, Blockchain, IoT and SDN

Abstract

Access Control is a crucial defense mechanism organizations can deploy to meet modern cybersecurity needs and legal compliance with data privacy. The aim is to prevent unauthorized users and systems from accessing protected resources in a way that exceeds their permissions. The present survey aims to summarize state-of-the-art Access Control techniques, presenting recent research trends in this area. Moreover, as the cyber-attack landscape and zero-trust networking challenges require organizations to consider their Information Security management strategies carefully, in this study, we present a review of contemporary Access Control techniques and technologies being discussed in the literature and the various innovations and evolution of the technology. We also discuss adopting and applying different Access Control techniques and technologies in four upcoming and crucial domains: Cloud Computing, Blockchain, the Internet of Things, and Software-Defined Networking. Finally, we discuss the business adoption strategies for Access Control and how the technology can be integrated into a cybersecurity and network architecture strategy.

Publication DOI: https://doi.org/10.1016/j.csa.2023.100015
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School
Additional Information: Copyright © 2023 Published by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Uncontrolled Keywords: Access control,Blockchain,Cloud,Distributed systems,IoT,SDN,Security,Computer Science (miscellaneous),Information Systems,Computer Networks and Communications,Computer Science Applications
Publication ISSN: 2772-9184
Last Modified: 19 Jul 2024 17:48
Date Deposited: 20 Mar 2023 11:28
Full Text Link:
Related URLs: https://www.sci ... 772918423000036 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Review article
Published Date: 2023-12
Published Online Date: 2023-03-15
Accepted Date: 2023-03-03
Authors: Golightly, Lewis
Modesti, Paolo
Garcia, Rémi
Chang, Victor (ORCID Profile 0000-0002-8012-5852)

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