SABPP: Privacy-Preserving Data Exchange in The Big Data Market Using The Smart Contract Approach

Suman Madan

doi:10.17485/IJST/v16i46.1831

Article

SABPP: Privacy-Preserving Data Exchange in The Big Data Market Using The Smart Contract Approach

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v16i46.1831

Year: 2023, Volume: 16, Issue: 46, Pages: 4388-4400

Original Article

SABPP: Privacy-Preserving Data Exchange in The Big Data Market Using The Smart Contract Approach

Suman Madan^1*

¹Jagan Institute of Management Studies, Sector 5, Rohini, Delhi-85, India

*Corresponding Author
Email: [email protected]

Received Date:20 July 2023, Accepted Date:03 October 2023, Published Date:15 December 2023

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Background: The immense increase of data due to web services, social media, Health care data, and mobile data results in the massive quantity of organized and unorganized data known as big data, which is utilized by various data miners as it contains some sensitive information. Method: In this research, a privacy mechanism in the decentralized cloud through the smart contract approach is developed to ensure the privacy of the data and ensure a fair trading strategy. Findings: The comparative analysis is revealed in the proposed SABPP model, which shows that the responsiveness attained by the proposed SABPP method is found to be 26.9759sec, 85.2969sec, and 158.6968sec for 20, 60 and 100 nodes respectively. Novelty: In this research, the smart contract approach named SABPP is proposed that ensures the smart agreement trading in the Blockchain and overcomes the privacy challenge associated with the trusted third party thereby, ensuring the data availability for the data consumer and privacy for the data provider.

Keywords: Blockchain, smart contract, privacy preservation, authentication, access control, data trading strategy

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Copyright

© 2023 Madan. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)