BUA: a blockchain-based unlinkable authentication scheme for mobile IoT

Abstract

Mobile IoT, a pioneering IoT facet, enhances data acquisition. Mutual authentication ensures device validity in mobile IoT. Unlinkable authentication needs for mobile IoT data nodes during device validation. Current methods have issues: Certificate Authority (CA) faces computational load, and blockchain deals with storage and throughput. In this paper, BUA, a blockchain-based unlinkable authentication scheme, applies vector commitment for CA reduction and blockchain data compression. A binary tree auxiliary index, minimizes redundancy in vector commitment verification. This scheme fulfills security goals and boosts performance by 13.24%, surpassing similar proposols.

Publication DOI: https://doi.org/10.1080/17517575.2023.2243616
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: Copyright © 2023 Informa UK Limited, trading as Taylor & Francis Group. This is an Accepted Manuscript version of the following article, accepted for publication in Enterprise Information Systems on 5th September 2023. This version is made available under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords: Mutual authentication,auxiliary proof calculation index,mobile IoT,vector commitment,Information Systems and Management,Computer Science Applications
Publication ISSN: 1751-7583
Last Modified: 07 Oct 2024 07:52
Date Deposited: 12 Oct 2023 11:27
Full Text Link:
Related URLs: https://www.tan ... 75.2023.2243616 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2023-09-05
Published Online Date: 2023-09-05
Accepted Date: 2023-07-30
Submitted Date: 2022-01-31
Authors: Wen, Yihong
Liu, Mingxi
Yang, Xiwen
Yang, Tailong
Chang, Victor (ORCID Profile 0000-0002-8012-5852)

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