TY - GEN
T1 - Hybrid blockchain design for privacy preserving crowdsourcing platform
AU - Zhu, Saide
AU - Hu, Huafu
AU - Li, Yingshu
AU - Li, Wei
N1 - Funding Information:
This research work is partly supported by the U.S. National Science Foundation under Grant No.1829674 and No.1741277.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Blockchain has been treated as one of the most promising technologies to promote crowdsourcing by providing new nice features, such as decentralization and accountability. Unfortunately, some inherent limitations of blockchain have been rarely addressed by the most existing works when applying blockchain into crowdsourcing, which becomes the performance bottleneck of crowdsourcing systems. In this paper, we propose a novel hybrid blockchain crowdsourcing platform to achieve decentralization and privacy preservation. Our platform integrates with a hybrid blockchain structure, dual-ledgers, and dual consensus algorithms to ensure secure communication between the requesters and the workers. Moreover, the smart contract and zero-knowledge proof are employed to ensure automatic operation of the tasks and the protection users' privacy, respectively. Finally, we conduct experiments to confirm the efficiency of the adopted consensus algorithm on our platform by comparing it with the state-of-the-art.
AB - Blockchain has been treated as one of the most promising technologies to promote crowdsourcing by providing new nice features, such as decentralization and accountability. Unfortunately, some inherent limitations of blockchain have been rarely addressed by the most existing works when applying blockchain into crowdsourcing, which becomes the performance bottleneck of crowdsourcing systems. In this paper, we propose a novel hybrid blockchain crowdsourcing platform to achieve decentralization and privacy preservation. Our platform integrates with a hybrid blockchain structure, dual-ledgers, and dual consensus algorithms to ensure secure communication between the requesters and the workers. Moreover, the smart contract and zero-knowledge proof are employed to ensure automatic operation of the tasks and the protection users' privacy, respectively. Finally, we conduct experiments to confirm the efficiency of the adopted consensus algorithm on our platform by comparing it with the state-of-the-art.
UR - http://www.scopus.com/inward/record.url?scp=85078705039&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85078705039&partnerID=8YFLogxK
U2 - 10.1109/Blockchain.2019.00013
DO - 10.1109/Blockchain.2019.00013
M3 - Conference contribution
AN - SCOPUS:85078705039
T3 - Proceedings - 2019 2nd IEEE International Conference on Blockchain, Blockchain 2019
SP - 26
EP - 33
BT - Proceedings - 2019 2nd IEEE International Conference on Blockchain, Blockchain 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Blockchain, Blockchain 2019
Y2 - 14 July 2019 through 17 July 2019
ER -