A Multi-Node Collaborative Decision-Making Scheme for Privacy Protection in IIoT

Mengya Chen, Wenying Zheng, Pandi Vijayakumar, Mamoun Alazab, Audithan Sivaraman

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)11531-11541
Number of pages11
JournalIEEE Transactions on Industrial Informatics
Issue number12
Early online date22 Feb 2023
Publication statusPublished - 1 Dec 2023


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