Research Article
PAID: Privacy-Preserving Incentive Mechanism Based on Truth Discovery for Mobile Crowdsensing
@INPROCEEDINGS{10.1007/978-3-030-89814-4_20, author={Tao Wan and Shixin Yue and Weichuan Liao}, title={PAID: Privacy-Preserving Incentive Mechanism Based on Truth Discovery for Mobile Crowdsensing}, proceedings={Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings}, proceedings_a={MOBIMEDIA}, year={2021}, month={11}, keywords={Incentive mechanism Truth discovery Mobile crowdsensing Privacy-preserving}, doi={10.1007/978-3-030-89814-4_20} }- Tao Wan
Shixin Yue
Weichuan Liao
Year: 2021
PAID: Privacy-Preserving Incentive Mechanism Based on Truth Discovery for Mobile Crowdsensing
MOBIMEDIA
Springer
DOI: 10.1007/978-3-030-89814-4_20
Abstract
Incentive mechanisms are an essential method to encourage users to participate in the mobile crowdsensing task. However, most incentive mechanisms based on data quality do not consider users’ security and privacy protection. To overcome the above problems, we propose a privacy protection incentive mechanism based on truth discovery, named PAID. Specifically, we use the secure truth discovery scheme to calculate ground truth and the weight of users’ data while protecting their privacy. Besides, to ensure the accuracy of the MCS results, a data eligibility assessment is proposed to remove unreliable user data before the truth discovery scheme. Finally, we distribute rewards to users based on their data quality. The analysis and evaluation demonstrate the security and effectiveness of our PAID.
