Block-chain based data provenance and integrity verification

 

Vaghani Divyeshkumar *

Master’s in business administration with concentration in business analytics, Gannon University, 109 University Square, Erie, PA 16541, United States.
 
Research Article
International Journal of Science and Research Archive, 2024, 12(01), 2516–2533.
Article DOI: 10.30574/ijsra.2024.12.1.1076
Publication history: 
Received on 03 May 2024; revised on 10 June 2024; accepted on 13 June 2024
 
Abstract: 
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.
 
Keywords: 
Blockchain; Cloud storage; Data; Integrity verification IoT; Scalability
 
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0