scholarly journals Privacy-Preserving Dialogues Between Agents: A Contract-Based Incentive Mechanism for Distributed Meeting Scheduling

2020 ◽  
pp. 299-315
Author(s):  
Boya Di ◽  
Nicholas R. Jennings
Keyword(s):  
Incentive Mechanism ◽  
Privacy Preserving ◽  
Meeting Scheduling

When Crowdsourcing Meets Social IoT: An Efficient Privacy-Preserving Incentive Mechanism

2019 ◽  
Vol 6 (6) ◽  
pp. 9707-9721 ◽  
Author(s):  
Xiaoying Gan ◽  
Yuqing Li ◽  
Yixuan Huang ◽  
Luoyi Fu ◽  
Xinbing Wang
Keyword(s):  
Incentive Mechanism ◽  
Privacy Preserving

scholarly journals A Privacy-Preserving Incentive Mechanism for Participatory Sensing Systems

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Xiaoguang Niu ◽  
Jiawei Wang ◽  
Qiongzan Ye ◽  
Yihao Zhang
Keyword(s):  
Dynamic Balance ◽  
Incentive Mechanism ◽  
Privacy Preserving ◽  
Circulation System ◽  
Participatory Sensing ◽  
Sensing Systems ◽  
Sensing Applications ◽  
Ideal Situation ◽  
Conflicting Objectives ◽  
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The proliferation of mobile devices has facilitated the prevalence of participatory sensing applications in which participants collect and share information in their environments. The design of a participatory sensing application confronts two challenges: “privacy” and “incentive” which are two conflicting objectives and deserve deeper attention. Inspired by physical currency circulation system, this paper introduces the notion of E-cent, an exchangeable unit bearer currency. Participants can use the E-cent to take part in tasks anonymously. By employing E-cent, we propose an E-cent-based privacy-preserving incentive mechanism, called EPPI. As a dynamic balance regulatory mechanism, EPPI can not only protect the privacy of participant, but also adjust the whole system to the ideal situation, under which the rated tasks can be finished at minimal cost. To the best of our knowledge, EPPI is the first attempt to build an incentive mechanism while maintaining the desired privacy in participatory sensing systems. Extensive simulation and analysis results show that EPPI can achieve high anonymity level and remarkable incentive effects.

scholarly journals A Blockchain Based Privacy-Preserving Incentive Mechanism in Crowdsensing Applications

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 17545-17556 ◽  
Author(s):  
Jingzhong Wang ◽  
Mengru Li ◽  
Yunhua He ◽  
Hong Li ◽  
Ke Xiao ◽  
...  
Keyword(s):  
Incentive Mechanism ◽  
Privacy Preserving

PACE: Privacy-Preserving and Quality-Aware Incentive Mechanism for Mobile Crowdsensing

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Bowen Zhao ◽  
Shaohua Tang ◽  
Ximeng Liu ◽  
Xinglin Zhang
Keyword(s):  
Incentive Mechanism ◽  
Privacy Preserving ◽  
Mobile Crowdsensing
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