PARS: Privacy-Aware Reward System for Mobile Crowdsensing Systems

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...

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Autores principales:	Zhong Zhang, Dae Hyun Yum, Minho Shin
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	mobile crowdsensing privacy-preserving blind signature incentive aggregation Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/39f4ebd767104c4fa7a4c47caa8db3f5
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id	oai:doaj.org-article:39f4ebd767104c4fa7a4c47caa8db3f5
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spelling	oai:doaj.org-article:39f4ebd767104c4fa7a4c47caa8db3f52021-11-11T19:04:26ZPARS: Privacy-Aware Reward System for Mobile Crowdsensing Systems10.3390/s212170451424-8220https://doaj.org/article/39f4ebd767104c4fa7a4c47caa8db3f52021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7045https://doaj.org/toc/1424-8220Crowdsensing 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.Zhong ZhangDae Hyun YumMinho ShinMDPI AGarticlemobile crowdsensingprivacy-preservingblind signatureincentiveaggregationChemical technologyTP1-1185ENSensors, Vol 21, Iss 7045, p 7045 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	mobile crowdsensing privacy-preserving blind signature incentive aggregation Chemical technology TP1-1185
spellingShingle	mobile crowdsensing privacy-preserving blind signature incentive aggregation Chemical technology TP1-1185 Zhong Zhang Dae Hyun Yum Minho Shin PARS: Privacy-Aware Reward System for Mobile Crowdsensing Systems
description	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.
format	article
author	Zhong Zhang Dae Hyun Yum Minho Shin
author_facet	Zhong Zhang Dae Hyun Yum Minho Shin
author_sort	Zhong Zhang
title	PARS: Privacy-Aware Reward System for Mobile Crowdsensing Systems
title_short	PARS: Privacy-Aware Reward System for Mobile Crowdsensing Systems
title_full	PARS: Privacy-Aware Reward System for Mobile Crowdsensing Systems
title_fullStr	PARS: Privacy-Aware Reward System for Mobile Crowdsensing Systems
title_full_unstemmed	PARS: Privacy-Aware Reward System for Mobile Crowdsensing Systems
title_sort	pars: privacy-aware reward system for mobile crowdsensing systems
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/39f4ebd767104c4fa7a4c47caa8db3f5
work_keys_str_mv	AT zhongzhang parsprivacyawarerewardsystemformobilecrowdsensingsystems AT daehyunyum parsprivacyawarerewardsystemformobilecrowdsensingsystems AT minhoshin parsprivacyawarerewardsystemformobilecrowdsensingsystems
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PARS: Privacy-Aware Reward System for Mobile Crowdsensing Systems

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