计算机科学
计算机安全
架空(工程)
方案(数学)
投票
弹性(材料科学)
信息隐私
协议(科学)
风险分析(工程)
业务
物理
替代医学
法学
病理
数学分析
政治学
操作系统
热力学
政治
医学
数学
作者
Mengya Chen,Wenying Zheng,Pandi Vijayakumar,Mamoun Alazab,Audithan Sivaraman
出处
期刊:IEEE Transactions on Industrial Informatics
[Institute of Electrical and Electronics Engineers]
日期:2023-12-01
卷期号:19 (12): 11531-11541
被引量:1
标识
DOI:10.1109/tii.2023.3247020
摘要
Industry 5.0 is more focused on sustainability, people-centredness, and resilience. The Industrial Internet of Things (IIoT) enable real-time monitoring of equipment status through sensors deployed in dangerous environments to reduce the probability of hazards. However, the devices are vulnerable to malicious attackers or can be tampered with during the transmission of information. Security has therefore become a major concern in the IIoT. In this article, we propose a privacy-preserving multinode collaborative decision-making scheme in IIoT to ensure the validity and integrity of data under the IIoT. This collaborative decision-making solution primarily uses voting to enable accurate monitoring of sensing devices. The scheme is designed based on an efficient aggregate signature and gives a formal proof of security based on the computational Diffie–Hellman problem (CDHP). The final performance analysis phase gives a detailed presentation of the computational overhead of each phase of the protocol.
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