ADAPTIVE DATA VALIDATION AND TRUSTMANAGEMENT USING BLOCKCHAIN TECHNOLOGY

Abstract

In the absence of trust, the transmission of massive amounts of data becomes considerably more challenging. There is still uncertainty regarding the veracity of shared data, and many data owners are unable to share their data since the infrastructure required to establish confidence in data is unclear. Data can only be trusted if the people behind it are truthful and precise. The sharing of information is accelerated in this way. Secure data transmission using blockchain technology is now a reality, thanks to this study's comprehensive architecture for data protection. By verifying raw data sets, restricting access, and monitoring data origin and usage, the strategy enhances data quality. Factors for condensing, prestige, and recommendation are part of the method we offer for evaluating data quality. Data owners and data users are both considered in the proposed data trust architecture. Verifying the data's accuracy and quality at the source is an important first step in ensuring its appropriate and secure use. Extensive experimental testing has proven beyond a shadow of a doubt that the targeted approach is effective