凭据
计算机科学
密码学
匿名
互联网
单点故障
计算机安全
身份(音乐)
信息隐私
零知识证明
块链
身份盗窃
方案(数学)
公钥密码术
互联网隐私
可追溯性
身份管理
万维网
加密
认证(法律)
计算机网络
数学
物理
软件工程
声学
数学分析
作者
Zijian Bao,Debiao He,Muhammad Khurram Khan,Min Luo,Qi Xie
出处
期刊:IEEE Transactions on Industrial Informatics
[Institute of Electrical and Electronics Engineers]
日期:2023-02-01
卷期号:19 (2): 1524-1534
被引量:5
标识
DOI:10.1109/tii.2022.3206798
摘要
Industrial Internet of Things (IIoT) is revolutionizing plenty of industrial applications by utilizing large-scale smart devices in manufacturing and industrial processes. However, IIoT is facing the disclosure of identity privacy. The identity information is precious and critical, thereby inspiring a line of follow-up privacy-preserving studies, i.e., anonymous credential protocols, or privacy-preserving identity management schemes. However, they are either too anonymous to be used in the IIoT environment, or the system is highly centralized, which implies the risk of a single point of failure. In this article, we propose PBidm , a privacy-preserving blockchain-based identity management scheme for IIoT. Specifically, by leveraging blockchain and diversified cryptographic tools, PBidm can fully support the desirable properties, i.e., unforgeability, blindness, unlikability, traceability, revocability, and public verifiability. Then, we provide security analysis to ensure reasonable security assurance. Finally, we present a performance evaluation of the proposed scheme to demonstrate the practicability in IIoT applications.
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