Research Article
Differential Privacy-Based Permissioned Blockchain for Private Data Sharing in Industrial IoT
@INPROCEEDINGS{10.1007/978-3-030-93479-8_5, author={Muhammad Islam and Mubashir Husain Rehmani and Jinjun Chen}, title={Differential Privacy-Based Permissioned Blockchain for Private Data Sharing in Industrial IoT}, proceedings={Broadband Communications, Networks, and Systems. 12th EAI International Conference, BROADNETS 2021, Virtual Event, October 28--29, 2021, Proceedings}, proceedings_a={BROADNETS}, year={2022}, month={1}, keywords={IIoT Hyperledger fabric blockchain Privacy preservation Differential privacy Supply chain Industrial data sharing}, doi={10.1007/978-3-030-93479-8_5} }- Muhammad Islam
Mubashir Husain Rehmani
Jinjun Chen
Year: 2022
Differential Privacy-Based Permissioned Blockchain for Private Data Sharing in Industrial IoT
BROADNETS
Springer
DOI: 10.1007/978-3-030-93479-8_5
Abstract
Permissioned blockchain such as Hyperledger fabric enables a secure supply chain model in Industrial Internet of Things (IIoT) through multichannel and private data collection mechanisms. However, the existing data sharing and querying mechanism in Hyperledger fabric is not suitable for supply chain environment in IIoT because the queries are evaluated on actual data stored on ledger which consists of sensitive information such as business secrets, and special discounts offered to retailers and individuals. To solve this problem, we propose a differential privacy-based permissioned blockchain using Hyperledger fabric to enable private data sharing in supply chain in IIoT (DH-IIoT). We integrate differential privacy into the chaindcode (smart contract) of Hyperledger fabric to achieve privacy preservation. As a result, the query response consists of perturbed data which protects the sensitive information in the ledger. We evaluate and compare our differential privacy integrated chaincode of Hyperledger fabric with the default chaincode setting of Hyperledger fabric for supply chain scenario. The results confirm that the proposed work maintains 96.15% of accuracy in the shared data while guarantees the protection of sensitive ledger’s data.
