Differentially Private Enhanced Permissioned Blockchain for Private Data Sharing in Industrial IoT
Muhammad Islam, Mubashir Husain Rehmani, Jinjun Chen

TL;DR
This paper introduces EDH-IIoT, a differentially private permissioned blockchain framework that enhances privacy in industrial IoT data sharing by efficiently managing privacy budgets and preventing data leaks.
Contribution
It proposes algorithms for privacy budget reuse in blockchain queries, ensuring privacy thresholds are maintained, and models privacy attacks to evaluate privacy preservation effectiveness.
Findings
Achieves 97% data accuracy with privacy budget threshold of 1.
Reduces privacy budget expenditure by 35.96%.
Effectively defends against linking and composition privacy attacks.
Abstract
The integration of permissioned blockchain such as Hyperledger fabric (HF) and Industrial internet of Things (IIoT) has opened new opportunities for interdependent supply chain partners to improve their performance through data sharing and coordination. The multichannel mechanism, private data collection and querying mechanism of HF enable private data sharing, transparency, traceability, and verification across the supply chain. However, the existing querying mechanism of HF needs further improvement for statistical data sharing because the query is evaluated on the original data recorded on the ledger. As a result, it gives rise to privacy issues such as leak of business secrets, tracking of resources and assets, and disclose of personal information. Therefore, we solve this problem by proposing a differentially private enhanced permissioned blockchain for private data sharing in the…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Privacy-Preserving Technologies in Data · IoT and Edge/Fog Computing
