A Decentralized and Privacy-Preserving Data Sharing Framework using Blockchain Technology
Main Article Content
Abstract
Sharing data has evolved into an essential component of today's society as a direct result of the proliferation of new technologies and the growing prevalence of digitalization. Traditional methods of data sharing, on the other hand, frequently encounter considerable hurdles in terms of both privacy and security.With its immutability and indestructibility, blockchain technology has emerged as the most reliable all-in-one cryptosystem for protecting online transactions. Some businesses, IT managers, and programmers have taken an interest in the blockchain network because of its potential as a decentralized infrastructure. In addition to safeguarding transactions from modification, this solution also serves as a historical audit trail for the network. This paper presents a decentralized data sharing architecture that uses blockchain technology and protects users' privacy. The goal is to address the problems that have been identified. The framework that has been proposed makes use of a combination of cryptographic methods and the technology of blockchains in order to enable secure, efficient, and decentralized data sharing while still maintaining users' anonymity. In order to improve data privacy and scalability, the framework makes use of a hybrid blockchain method. This technique incorporates the positive aspects of both public and private blockchains. The usefulness of the suggested framework in maintaining data privacy and security while also enabling efficient and decentralized data exchange is demonstrated by the results of an evaluation that uses a prototype implementation as the basis for the evaluation.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.