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

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.