Blockchain-Based Cross-Domain Authentication With Dynamic Domain Participation in IoT
Luo, Deyu Sun, Gang Yu, Hongfang Guizani, Mohsen
Luo, Deyu
Sun, Gang
Yu, Hongfang
Guizani, Mohsen
Supervisor
Department
Machine Learning
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Type
Journal article
Date
2025
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Language
English
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Abstract
In the Internet of Things (IoT), blockchain-based cross-domain authentication schemes can effectively establish trust and share data across different administrative domains. However, current blockchain-based cross-domain authentication solutions often overlook dynamic node participation challenges, which is crucial for the flexible IoT environment. In this study, we propose a blockchain-based cross-domain authentication scheme that supports dynamic node participation, allowing administrative domainss to freely join or leave under legal conditions. First, we introduce an efficient blockchain-based cross-domain authentication framework. Second, we propose a blockchain consensus algorithm that supports dynamic node participation to serve the aforementioned framework. Specifically, inspired by the transmission control protocol (TCP) protocol's piggybacking strategy, this algorithm integrates the process of node joining and leaving into the regular consensus flow to enhance efficiency. To further improve the algorithm's efficiency, we designed compressed block and parallel chain structures to increase bandwidth utilization and throughput. Detailed correctness proofs demonstrate the algorithm's security. Extensive experiments have been conducted to show that our scheme increases throughput by approximately 8x compared to existing approaches.
Citation
D. Luo, G. Sun, H. Yu, and M. Guizani, “Blockchain-Based Cross-Domain Authentication With Dynamic Domain Participation in IoT,” IEEE Internet Things J, 2024, doi: 10.1109/JIOT.2024.3486331.
Source
IEEE Internet of Things Journal
Conference
Keywords
Blockchain, cross-domain authentication, dynamic, efficiency improvement, Internet of Things (IoT), parallelization
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Source
Publisher
IEEE