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PARS: Privacy-Aware Reward System for Mobile Crowdsensing Systems

Zhang, Zhong ; Yum, Dae Hyun ; Shin, Minho

Sensors (Basel, Switzerland), 2021-10, Vol.21 (21), p.7045 [Periódico revisado por pares]

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Título:
PARS: Privacy-Aware Reward System for Mobile Crowdsensing Systems
Autor: Zhang, Zhong ; Yum, Dae Hyun ; Shin, Minho
Assuntos: aggregation ; blind signature ; Data collection ; Decoupling ; incentive ; mobile crowdsensing ; Personal information ; Privacy ; privacy-preserving ; Sensors ; Smartphones
É parte de: Sensors (Basel, Switzerland), 2021-10, Vol.21 (21), p.7045
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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These authors contributed equally to this work.
Descrição: Crowdsensing systems have been developed for wide-area sensing tasks because humancarried smartphones are prevailing and becoming capable. To encourage more people to participate in sensing tasks, various incentive mechanisms were proposed. However, participating in sensing tasks and getting rewards can inherently risk the users’ privacy and discourage their participation. In particular, the rewarding process can expose the participants’ sensor data and possibly link sensitive data to their identities. In this work, we propose a privacy-preserving reward system in crowdsensing using the blind signature. The proposed scheme protects the participants’ privacy by decoupling contributions and rewarding claims. Our experiment results show that the proposed mechanism is feasible and efficient.
Editor: Basel: MDPI AG
Idioma: Inglês

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