Trustworthy and Efficient Crowdsensed Data Trading on Sharding Blockchain

Author:

Wang En1ORCID,Cai Jiatong1,Yang Yongjian1ORCID,Liu Wenbin1ORCID,Wang Hengzhi1ORCID,Yang Bo1ORCID,Wu Jie2ORCID

Affiliation:

1. Department of Computer Science and Technology and the Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China

2. School of Computer and Information Sciences, Temple University, Philadelphia, PA, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

China Computer Federation (CCF)-Baidu Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Reference49 articles.

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1. Privacy-preserving quadratic truth discovery based on Precision partitioning;Computers & Security;2024-11

2. Paramart: Parallel Resource Allocation Based on Blockchain Sharding for Edge-Cloud Services;IEEE Transactions on Services Computing;2024-07

3. Sharon: Secure and Efficient Cross-shard Transaction Processing via Shard Rotation;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

4. Privacy-Preserved Data Disturbance and Truthfulness Verification for Data Trading;IEEE Transactions on Information Forensics and Security;2024

5. A Blockchain-Based Mobile Crowdsensing and Its Incentive Mechanism;Lecture Notes in Computer Science;2024

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