A Lightweight Blockchain-Based IoT Identity Management Approach

Mohammed Amine Bouras, Qinghua Lu, Sahraoui Dhelim and Huansheng Ning
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Mohammed Amine Bouras: The School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
Qinghua Lu: Data61, The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra 2601, Australia
Sahraoui Dhelim: The School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
Huansheng Ning: The School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China

Future Internet, 2021, vol. 13, issue 2, 1-14

Abstract: Identity management is a fundamental feature of Internet of Things (IoT) ecosystem, particularly for IoT data access control. However, most of the actual works adopt centralized approaches, which could lead to a single point of failure and privacy issues that are tied to the use of a trusted third parties. A consortium blockchain is an emerging technology that provides a neutral and trustable computation and storage platform that is suitable for building identity management solutions for IoT. This paper proposes a lightweight architecture and the associated protocols for consortium blockchain-based identity management to address privacy, security, and scalability issues in a centralized system for IoT. Besides, we implement a proof-of-concept prototype and evaluate our approach. We evaluate our work by measuring the latency and throughput of the transactions while using different query actions and payload sizes, and we compared it to other similar works. The results show that the approach is suitable for business adoption.

Keywords: identity management; blockchain; internet of things; distributed ledger technology; sensor; access control (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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