Block-chain based data provenance and integrity verification

Blockchain applications face major scalability challenges, hindering their ability to support services with large-scale and frequent transactions, such as the computational and communication overhead involved in integrity verification for large-scale IoT data. To tackle the problem, we propose a Blockchain and Bilinear mapping-based Data Integrity Scheme (BB-DIS) tailored for large-scale IoT data in cloud storage. The paper introduces a blockchain-based framework for data integrity verification of large-scale IoT data which includes a series of protocols, verification algorithms, and detailed performance analysis; develops a prototype system incorporating an edge computing processor near the IoT devices to preprocess the large-scale IoT data to significantly reduce communication costs and computational burdens; and performs multiple simulation experiments on Hyperledger Fabric to provide a comparative analysis of computational and communication overhead between BB-DIS and other baseline schemes. Experimental results demonstrate that the proposed BB-BIS surpasses existing blockchain-based methods in computational cost and communication overhead for large-scale IoT data.