SybSub: Privacy-preserving expressive task subscription with sybil detection in crowdsourcing

The past decade has witnessed the rise of crowdsourcing, and privacy in crowdsourcing has also gained rising concern in the meantime. Task matching or task subscription is one of indispensable services in crowdsourcing, but few mechanisms can achieve the expressive task subscription while protecting...

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Main Authors: SHU, Jiangang, LIU, Ximeng, YANG, Kan, ZHANG, Yinghui, JIA, Xiaohua, DENG, Robert H.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access:https://ink.library.smu.edu.sg/sis_research/4677
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-56802020-01-02T06:18:03Z SybSub: Privacy-preserving expressive task subscription with sybil detection in crowdsourcing SHU, Jiangang LIU, Ximeng YANG, Kan ZHANG, Yinghui JIA, Xiaohua DENG, Robert H. The past decade has witnessed the rise of crowdsourcing, and privacy in crowdsourcing has also gained rising concern in the meantime. Task matching or task subscription is one of indispensable services in crowdsourcing, but few mechanisms can achieve the expressive task subscription while protecting the privacy. In this paper, we focus on the privacy leaks and attacks during task subscription in crowdsourcing, and propose a privacy-preserving task subscription scheme with sybil detection, called SybSub. The SybSub scheme achieves the expressiveness of task subscription in the multisubscriber and multipublisher crowdsourcing while protecting the privacy of both subscribers and publishers against the semi-honest crowdsourcing service provider, and meanwhile supports the sybil attack detection against greedy subscribers. We implement the SybSub scheme and evaluate it thoroughly. Performance results validate that the SybSub scheme is efficient and feasible. 2019-02-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/4677 info:doi/10.1109/JIOT.2018.2877780 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Information Security
spellingShingle Information Security
SHU, Jiangang
LIU, Ximeng
YANG, Kan
ZHANG, Yinghui
JIA, Xiaohua
DENG, Robert H.
SybSub: Privacy-preserving expressive task subscription with sybil detection in crowdsourcing
description The past decade has witnessed the rise of crowdsourcing, and privacy in crowdsourcing has also gained rising concern in the meantime. Task matching or task subscription is one of indispensable services in crowdsourcing, but few mechanisms can achieve the expressive task subscription while protecting the privacy. In this paper, we focus on the privacy leaks and attacks during task subscription in crowdsourcing, and propose a privacy-preserving task subscription scheme with sybil detection, called SybSub. The SybSub scheme achieves the expressiveness of task subscription in the multisubscriber and multipublisher crowdsourcing while protecting the privacy of both subscribers and publishers against the semi-honest crowdsourcing service provider, and meanwhile supports the sybil attack detection against greedy subscribers. We implement the SybSub scheme and evaluate it thoroughly. Performance results validate that the SybSub scheme is efficient and feasible.
format text
author SHU, Jiangang
LIU, Ximeng
YANG, Kan
ZHANG, Yinghui
JIA, Xiaohua
DENG, Robert H.
author_facet SHU, Jiangang
LIU, Ximeng
YANG, Kan
ZHANG, Yinghui
JIA, Xiaohua
DENG, Robert H.
author_sort SHU, Jiangang
title SybSub: Privacy-preserving expressive task subscription with sybil detection in crowdsourcing
title_short SybSub: Privacy-preserving expressive task subscription with sybil detection in crowdsourcing
title_full SybSub: Privacy-preserving expressive task subscription with sybil detection in crowdsourcing
title_fullStr SybSub: Privacy-preserving expressive task subscription with sybil detection in crowdsourcing
title_full_unstemmed SybSub: Privacy-preserving expressive task subscription with sybil detection in crowdsourcing
title_sort sybsub: privacy-preserving expressive task subscription with sybil detection in crowdsourcing
publisher Institutional Knowledge at Singapore Management University
publishDate 2019
url https://ink.library.smu.edu.sg/sis_research/4677
_version_ 1770574962762973184