학술논문

Blockchain Oriented Hybrid Architecture for Crowdsource Model
Document Type
Conference
Source
2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Sustainable Computing and Smart Systems (ICSCSS), 2023 International Conference on. :1454-1459 Jun, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Crowdsourcing
Privacy
Data privacy
Technological innovation
Medical services
Consensus algorithm
Blockchains
Hybrid framework
Blockchain
Big data
Language
Abstract
Blockchain has been preserved as one of the strongest innovations to facilitate crowdsourcing as it offers new functionality, such as decentralization and transparency. Alas, certain intrinsic drawbacks of Blockchain, which become the efficiency bottleneck of crowdsourcing schemes, have hardly been tackled by the most current initiatives when implementing Blockchain to clustering. The followings are the few challenges faced by Blockchain: Scalability, the blockchain sector still face difficulties in managing a large number of users at once, Hackers and shadow dealing, Complex to understanding and adopting. In this article, to achieve decentralization and privacy protection, a modern hybrid blockchain crowd sourcing facility is proposed. With its hybrid Blockchain, doubleheaders, and double consensus algorithms, this network integrates stable connectivity between the requestors and the employees. In order to ensure the automated execution of the activities and the security of users’ privacy, smart contracts and zero awareness evidence are both used. Finally, tests are performed to validate the effectiveness of the platform’s consensus algorithm by matching it with the new one. The proposed hybrid framework proved that it is highly confidential and gives an extraordinary performance in regard to privacy. With the development of big data and medical information control systems, there is a growing interest in the sharing of electronic medical records between businesses for better medical care and advancement. On the other hand, the proliferation of large amounts of data, privacy issues, inherent business confidence issues, and complex legal requirements impede the quick development of healthcare intelligence.