TY - GEN
T1 - Consortium Blockchain-Based Secure and Efficient Authentication Scheme for Smart Devices
AU - Tong, Weiming
AU - Yang, Luyao
AU - Jiang, Wenqi
AU - Lin, Jingbo
AU - Li, Zhongwei
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - With the rapid development of the Industrial Internet of Things, the security and privacy of identity authentication for smart devices have become critical issues. Traditional authentication mechanisms face challenges such as physical attacks and data privacy breaches in distributed environments. To address these issues, this paper proposes a consortium blockchain-based secure and efficient authentication scheme for smart devices. The scheme leverages Physical Unclonable Functions, zero-knowledge proofs, and consortium blockchain technology to achieve an efficient, decentralized, and scalable identity authentication method. First, we combine SRAM PUF, hash algorithms, and elliptic curve cryptography to generate unique device identifiers, which are then mapped to elliptic curve group elements, thereby enhancing the resistance of device identity authentication against attacks. Second, zk-SNARKs are used to construct non-interactive zero-knowledge proofs, enabling devices to be authenticated efficiently without revealing sensitive information, thus improving the privacy and efficiency of the authentication process. Finally, the consortium blockchain enables distributed storage and multi-party verification of authentication information, ensuring the transparency and credibility of the authentication process. Security analysis demonstrates that the proposed scheme can resist replay attacks, man-in-the-middle attacks, and forgery attacks, effectively ensuring the anonymity of device identities and the integrity of data. The results show that this scheme provides robust technical support for IIoT and offers an innovative approach to identity authentication in large-scale device management.
AB - With the rapid development of the Industrial Internet of Things, the security and privacy of identity authentication for smart devices have become critical issues. Traditional authentication mechanisms face challenges such as physical attacks and data privacy breaches in distributed environments. To address these issues, this paper proposes a consortium blockchain-based secure and efficient authentication scheme for smart devices. The scheme leverages Physical Unclonable Functions, zero-knowledge proofs, and consortium blockchain technology to achieve an efficient, decentralized, and scalable identity authentication method. First, we combine SRAM PUF, hash algorithms, and elliptic curve cryptography to generate unique device identifiers, which are then mapped to elliptic curve group elements, thereby enhancing the resistance of device identity authentication against attacks. Second, zk-SNARKs are used to construct non-interactive zero-knowledge proofs, enabling devices to be authenticated efficiently without revealing sensitive information, thus improving the privacy and efficiency of the authentication process. Finally, the consortium blockchain enables distributed storage and multi-party verification of authentication information, ensuring the transparency and credibility of the authentication process. Security analysis demonstrates that the proposed scheme can resist replay attacks, man-in-the-middle attacks, and forgery attacks, effectively ensuring the anonymity of device identities and the integrity of data. The results show that this scheme provides robust technical support for IIoT and offers an innovative approach to identity authentication in large-scale device management.
KW - Consortium Block-chain
KW - Device Authentication
KW - Physical Unclonable Function
KW - Zero-Knowledge Proof
UR - https://www.scopus.com/pages/publications/105003185491
U2 - 10.1007/978-981-96-4063-8_41
DO - 10.1007/978-981-96-4063-8_41
M3 - 会议稿件
AN - SCOPUS:105003185491
SN - 9789819640621
T3 - Lecture Notes in Electrical Engineering
SP - 424
EP - 432
BT - Proceedings of the 1st Electrical Artificial Intelligence Conference, EAIC 2024
A2 - Qu, Ronghai
A2 - Song, Zhengxiang
A2 - Ding, Zhiming
A2 - Mu, Gang
A2 - Xiong, Rui
A2 - Han, Li
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st Electrical Artificial Intelligence Conference, EAIC 2024
Y2 - 6 December 2024 through 8 December 2024
ER -