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EBIAS: ECC-enabled blockchain-based identity authentication scheme for IoT device

delete2025-03-01
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OA
AI
W
Wenyue Wang
B
Biwei Yan
B
Baobao Chai
R
Ruiyao Shen
A
Anming Dong *
J
Jiguo Yu
DOI:10.1016/j.hcc.2024.100240delete
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Abstract

Abstract

En 中文
In the Internet of Things (IoT), a large number of devices are connected using a variety of communication technologies to ensure that they can communicate both physically and over the network. However, devices face the challenge of a single point of failure, a malicious user may forge device identity to gain access and jeopardize system security. In addition, devices collect and transmit sensitive data, and the data can be accessed or stolen by unauthorized user, leading to privacy breaches, which posed a significant risk to both the confidentiality of user information and the protection of device integrity. Therefore, in order to solve the above problems and realize the secure transmission of data, this paper proposed EBIAS, a secure and efficient blockchain-based identity authentication scheme designed for IoT devices. First, EBIAS combined the Elliptic Curve Cryptography (ECC) algorithm and the SHA-256 algorithm to achieve encrypted communication of the sensitive data. Second, EBIAS integrated blockchain to tackle the single point of failure and ensure the integrity of the sensitive data. Finally, we performed security analysis and conducted sufficient experiment. The analysis and experimental results demonstrate that EBIAS has certain improvements on security and performance compared with the previous schemes, which further proves the feasibility and effectiveness of EBIAS. (c) 2024 The Author(s). Published by Elsevier B.V. on behalf of Shandong University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords:
IoT
Blockchain
ECC
Identity authentication
Security
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Journal

H
High-Confidence Computing
IF:
3
Papers:
239
Citations:
407

Organization

Q
Qilu University of Technology
Scholars:
1.1W
Papers: 8.9K
Citations: 16
Q
Qufu Normal University
Scholars:
7.7K
Papers: 5.7K
Citations: 5.4K
S
shandong university
Scholars:
9.4W
Papers: 6.4W
Citations: 94
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