Differentially Private Crowdsourcing With the Public and Private Blockchain-Reference-Cited by-同舟云学术

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Differentially Private Crowdsourcing With the Public and Private Blockchain

Published:2023-05-15 Issue:10 Volume:10 Page:8918-8930
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wang Minghao¹,Zhu Tianqing¹^ORCID,Zuo Xuhan¹,Yang Mengmeng²,Yu Shui¹^ORCID,Zhou Wanlei³

Affiliation:

1. School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia

2. Data61, Commonwealth Scientific and Industrial Research Organization, Canberra, ACT, Australia

3. Faculty of Data Science, City University of Macau, Macau, China

Funder

ARC Linkage Project from the Australian Research Council, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10119650/10004636.pdf?arnumber=10004636

Reference39 articles.

1. The rise of crowdsourcing;howe;Wired Mag,2006

2. Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning

3. Privacy-preserving based task allocation with mobile edge clouds

4. Privacy Protection Scheme Based on CP-ABE in Crowdsourcing-IoT for Smart Ocean

5. Towards an integrated crowdsourcing definition

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards Efficient and Deposit-Free Blockchain-Based Spatial Crowdsourcing;ACM Transactions on Sensor Networks;2024-05-06

2. Incentive Mechanism for Uncertain Tasks Under Differential Privacy;IEEE Transactions on Services Computing;2024-05

3. CE-PBFT: A high availability consensus algorithm for large-scale consortium blockchain;Journal of King Saud University - Computer and Information Sciences;2024-02

4. On Designs of Decentralized Reputation Management for Permissioned Blockchain Networks;Computer Modeling in Engineering & Sciences;2024

5. Blockchain-Empowered Metaverse: Decentralized Crowdsourcing and Marketplace for Trading Machine Learning Data and Models;IEEE Access;2024

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