SmartDID: A Novel Privacy-Preserving Identity Based on Blockchain for IoT

被引:22
|
作者
Yin, Jie [1 ]
Xiao, Yang [2 ]
Pei, Qingqi [1 ]
Ju, Ying [1 ,3 ]
Liu, Lei [1 ,3 ]
Xiao, Ming [4 ]
Wu, Celimuge [5 ]
机构
[1] Xidian Univ, Univ Shaanxi Prov, Engn Res Ctr Trusted Digital Econ, Sch Telecommun Engn,State Key Lab Integrated Serv, Xian 710071, Peoples R China
[2] Xidian Univ, Univ Shaanxi Prov, Engn Res Ctr Trusted Digital Econ, Sch Cyber Engn, Xian 710071, Peoples R China
[3] Xidian Univ, Guangzhou Inst Technol, Guangzhou 510555, Peoples R China
[4] KTH Royal Inst Technol, Div Informat Sci & Engn, S-10044 Stockholm, Sweden
[5] Univ Electrocommun, Grad Sch Informat & Engn, Chofu 1828585, Japan
来源
IEEE INTERNET OF THINGS JOURNAL | 2023年 / 10卷 / 08期
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Blockchain-based distributed identity; Internet of Things (IoT); privacy preservation; systematic proof system; zero-knowledge proofs; INTERNET; THINGS; CHALLENGES;
D O I
10.1109/JIOT.2022.3145089
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Internet of Things (IoT) applications have penetrated into all aspects of human life. Millions of IoT users and devices, online services, and applications combine to create a complex and heterogeneous network, which complicates the digital identity management. Distributed identity is a promising paradigm to solve IoT identity problems and allows users to have soverignty over their private data. However, the existing state-of-the-art methods are unsuitable for IoT due to continuing issues regarding resource limitations for IoT devices, security and privacy issues, and lack of a systematic proof system. Accordingly, in this article, we propose SmartDID, a novel blockchain-based distributed identity aimed at establishing a self-sovereign identity and providing strong privacy preservation. First, we configure IoT devices as light nodes and design a Sybil-resistant, unlinkable, and supervisable distributed identity that does not rely on central identity providers. We further develop a dual-credential model based on commitment and zero-knowledge proofs to protect the privacy of sensitive attributes, on-chain identity data, and linkage of credentials. Moreover, we combine the basic credential proofs to prove the knowledge of solutions to more complex problems and create a systematic proof system. We go on to provide the security analysis of SmartDID. Experimental analysis shows that our scheme achieves better performance in terms of both credential generation and proof generation when compared with CanDID.
引用
收藏
页码:6718 / 6732
页数:15
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