Blockchain-Driven Privacy-Preserving Contact-Tracing Framework in Pandemics
Datos Bibliográficos
| ID | 22106918 |
|---|---|
| Autores | Xiao Li (0000-0002-6762-2475, The University of Texas at Dallas), Weili Wu (0000-0001-8747-6340, The University of Texas at Dallas), Tiantian Chen (0000-0003-3513-6170, The University of Texas at Dallas) |
| Año | 2024 |
| Volumen | 11 |
| Número | 3 |
| Páginas | 4279-4289 |
| Fecha de publicación | 2024-06-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | IEEE Transactions on Computational Social Systems (JOURNAL) |
| Identificadores de la revista | ISSN: 2329-924X • E-ISSN: 2373-7476 |
| Editorial | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/tcss.2024.3351191 |
| OpenAlex | W4391235428 |
| Idioma | EN |
| Referencias citadas | 34 |
Blockchain technology, recognized for its decentralized and privacy-preserving capabilities, holds potential for enhancing privacy in contact tracing applications. Existing blockchain-based contact tracing frameworks often overlook one or more critical design details, such as the blockchain data structure, a decentralized and lightweight consensus mechanism with integrated tracing data verification, and an incentive mechanism to encourage voluntary participation in bearing blockchain costs. Moreover, the absence of framework simulations raises questions about the efficacy of these existing models. To solve above issues, this article introduces a fully third-party independent blockchain-driven contact tracing (BDCT) framework, detailed in its design. The BDCT framework features an Rivest-Shamir-Adleman (RSA) encryption-based transaction verification method (RSA-TVM), achieving over 96% accuracy in contact case recording, even with a 60% probability of individuals failing to verify contact information. Furthermore, we propose a lightweight reputation corrected delegated proof of stake (RC-DPoS) consensus mechanism, coupled with an incentive model, to ensure timely reporting of contact cases while maintaining blockchain decentralization. Additionally, a novel simulation environment for contact tracing is developed, accounting for three distinct contact scenarios with varied population density. Our results and discussions validate the effectiveness, robustness of the RSA-TVM and RC-DPoS, and the low storage demand of the BDCT framework
Blockchain · Computer security · Contact tracing · Cryptography · Database · Database transaction · Distributed computing · Incentive · Tracing · Blockchain Technology Applications and Security · Computer Science · COVID-19 Digital Contact Tracing · Privacy-Preserving Technologies in Data
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |