P<sup>2</sup>SIM: Privacy-Preserving and Source-Reliable Incentive Mechanism for Mobile Crowdsensing-Reference-Cited by-同舟云学术

P²SIM: Privacy-Preserving and Source-Reliable Incentive Mechanism for Mobile Crowdsensing

Published:2022-12-15 Issue:24 Volume:9 Page:25424-25437
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Yan Xingfu¹^ORCID,Ng Wing W. Y.²^ORCID,Zeng Biao³^ORCID,Zhao Bowen⁴^ORCID,Luo Fucai⁵^ORCID,Gao Ying³^ORCID

Affiliation:

1. School of Computer Science, South China Normal University, Guangzhou, China

2. Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

3. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

4. Guangzhou Institute of Technology, Xidian University, Guangzhou, China

5. Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, China

Funder

National Natural Science Foundation of China

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/ielx7/6488907/9973413/09851434.pdf?arnumber=9851434

Reference36 articles.

1. Pairings for cryptographers

2. REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing

3. TaskMe: Toward a dynamic and quality-enhanced incentive mechanism for mobile crowd sensing

4. Improving IoT Data Quality in Mobile Crowd Sensing: A Cross Validation Approach

5. Efficient Privacy-Preserving Cube-Data Aggregation Scheme for Smart Grids

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