@inproceedings{fbe5ad9101cc41e0a536da9bbc6519fe,
title = "Privacy-Preserving Auction-based Incentive Mechanism for Mobile Crowdsensing Systems",
abstract = "Many people use mobile devices as the basic sensing units since they are cheap and convenient. Several incentive mechanisms have been proposed in past literature to incentivize worker participation in such sensing units. However, existing auction-based privacy-preserving incentive mechanisms only consider asymptotically truthful property apart from exactly dominant strategy truthful property while maximizing crowdsourcers' revenue. Past research has shown that a single mechanism model is difficult to solve this problem, so we designed a novel hybrid mechanism with differential privacy to strike the balance between utility property and truthful bidding property. The hybrid mechanism, denoted as PQHM, consists of price-privacy auction-based mechanism (denoted as PPAM) and quality-privacy auction-based mechanism (denoted as QPAM). PPAM can get great social utility and QPAM can get truthful bidding property. We could randomize between running the two mechanisms according to a probability distribution (defined as λ to guarantee the reasonable utility for the crowdsourcers, and give each bidder a strict positive incentive to report truthfully. This paper found that the hybrid incentive mechanism has the characteristics of differential private, exactly truthful, individual rationality, reasonable platform profitability, and calculation efficiency. Furthermore, the selection probability λ of PQHM is linearly controllable.",
keywords = "crowdsensing, differential privacy, exactly truthful, incentive mechanism, quality, utility guarantee",
author = "Naiting Xu and Kai Han and Shaojie Tang and Shuai Xu and Feiyang Li and Jiahao Zhang",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018 ; Conference date: 09-05-2018 Through 11-05-2018",
year = "2018",
month = sep,
day = "13",
doi = "10.1109/CSCWD.2018.8465249",
language = "English",
isbn = "9781538614822",
series = "Proceedings of the 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "10--16",
editor = "Jean-Paul Barthes and Haibin Zhu and Junzhou Luo and Weiming Shen and Jinghui Zhang and Fang Dong",
booktitle = "Proceedings of the 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018",
address = "United States",
}