Paper Key : IRJ************720
Author: K. Kushal Reddy,K. Abhinav,N. Shiva,Ms. G. Shamini
Date Published: 02 Mar 2024
Abstract
The primary barrier to widespread data sharing is the issue of trust. Many individuals or organizations who own data are hesitant to share it due to the lack of transparent systems for implementing data trust. On the other hand, data users are concerned about the accuracy and reliability of the shared data. To overcome this obstacle, the concept of data trust has emerged as a paradigm that promotes transparency among data users regarding the processes of sharing and reusing data. Blockchain technology, with its distributed and transparent administration involving multiple parties, offers a potential solution by maintaining consensus on an immutable ledger.This article presents a comprehensive framework for establishing data trust using blockchain technology to enhance the reliability of data sharing. The framework aims to ensure the quality of shared data by evaluating input datasets, effectively managing access control, and providing information about data provenance and activity monitoring. Moreover, we have developed an assessment model that takes into account factors such as reputation, endorsement, and confidence to evaluate the quality of the data. Additionally, we propose an adaptive solution that determines the number of transaction validators based on the computed trust value.Our proposed framework for data trust addresses the concerns of both data owners and users. It provides a transparent infrastructure that instills confidence in data sharing and ensures the integrity and accuracy of shared data. By leveraging blockchain technology and incorporating mechanisms for evaluating data quality and trustworthiness, our framework paves the way for more widespread and secure data sharing.In addition, we propose an adaptive method to calculate the number of transaction validators according to the trust value. The suggested data trust architecture ensures the quality and reliability of the data at the outset as well as the ethical and secure use of the data at the conclusion, thereby addressing the concerns of both data users and owners. A thorough experimental analysis shows that the system under presentation can efficiently process many transactions with minimal latency.