A security authentication scheme for mobile industrial IoT supply chains based on blockchain and group key management
Driven by globalization and digitization, the Mobile Industrial Supply Chain Internet of Things (IoT) has gradually developed, utilizing mobile devices and IoT technologies to enable real-time monitoring and efficient responses across various stages. However, with the growing demand for high-frequency data exchange, the Mobile Industrial Supply Chain IoT faces significant challenges in data security, authentication, and privacy protection. This paper proposes a security authentication scheme based on blockchain and group key management, leveraging the decentralized and tamper-resistant features of blockchain, the privacy-preserving authentication method of Zero-Knowledge Proofs (ZKP), and a hierarchical key management mechanism based on binary key trees. This approach aims to enhance the security and scalability of Mobile Industrial Supply Chain IoT. The experimental section simulates scenarios such as dynamic node addition and key updates, evaluating the performance in terms of encryption, decryption, and key management efficiency, thus demonstrating its superiority in multi-party collaborative environments.
Authors
- Qingyuan Liu (ORCID: https://orcid.org/0000-0003-0061-2747)
- Ting Chen
- Xian Zhao (ORCID: https://orcid.org/0000-0002-3230-9585)
- Chaoyue Wang (ORCID: https://orcid.org/0000-0002-3149-5718)
- Tao Liu (ORCID: https://orcid.org/0000-0002-9824-8682)
Institutions
- Beijing Institute of Technology (CN)
- University of Electronic Science and Technology of China (CN)
- Dalian University of Technology (CN)
- Ministry of Education (TW)
- Ministry of Industry and Information Technology (CN)
Publication Details
- Journal
- Digital Communications and Networks
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1016/j.dcan.2025.08.003
- Primary Topic
- Blockchain Technology Applications and Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Sichuan Province