On the Interactions between Privacy-Preserving, Incentive, and Inference Mechanisms in Participatory Sensing Systems

2013 ◽  
pp. 614-620 ◽  
Author(s):  
Idalides J. Vergara-Laurens ◽  
Diego Mendez-Chaves ◽  
Miguel A. Labrador
Keyword(s):  
Privacy Preserving ◽  
Participatory Sensing ◽  
Sensing Systems

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 ◽  
Share Information

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 BPRF: Blockchain-based privacy-preserving reputation framework for participatory sensing systems

PLoS ONE ◽  
2019 ◽  
Vol 14 (12) ◽  
pp. e0225688 ◽  
Author(s):  
Hyo Jin Jo ◽  
Wonsuk Choi
Keyword(s):  
Privacy Preserving ◽  
Participatory Sensing ◽  
Sensing Systems

Efficient location privacy-preserving range query scheme for vehicle sensing systems

2020 ◽  
Vol 106 ◽  
pp. 101714 ◽  
Author(s):  
Peng Hu ◽  
Yongli Wang ◽  
Quanbing Li ◽  
Yongjian Wang ◽  
Yanchao Li ◽  
...  
Keyword(s):  
Location Privacy ◽  
Range Query ◽  
Privacy Preserving ◽  
Sensing Systems

Incentives-based preferences and mobility-aware task assignment in participatory sensing systems

2018 ◽  
Vol 117 ◽  
pp. 71-83 ◽  
Author(s):  
Rim Ben Messaoud ◽  
Yacine Ghamri-Doudane ◽  
Dmitri Botvich
Keyword(s):  
Task Assignment ◽  
Participatory Sensing ◽  
Sensing Systems

An Efficient Privacy-Preserving Incentive Scheme without TTP in Participatory Sensing Network

2018 ◽  
Author(s):  
Jingwei Liu ◽  
Xiaolu Li ◽  
Rong Sun ◽  
Xiaojiang Du ◽  
Paul Ratazzi
Keyword(s):  
Privacy Preserving ◽  
Participatory Sensing ◽  
Incentive Scheme

On the privacy-utility tradeoff in participatory sensing systems

2016 ◽  
Author(s):  
Rim Ben Messaoud ◽  
Nouha Sghaier ◽  
Mohamed Ali Moussa ◽  
Yacine Ghamri-Doudane
Keyword(s):  
Participatory Sensing ◽  
Sensing Systems

Privacy in Participatory Sensing Systems

2012 ◽  
pp. 124-143
Author(s):  
Tishna Sabrina ◽  
Manzur Murshed
Keyword(s):  
Mobile Phones ◽  
Data Communication ◽  
The Other ◽  
Participatory Sensing ◽  
New Paradigm ◽  
Socially Responsible ◽  
Sensing Systems ◽  
Sensor Devices ◽  
Community People ◽  
User Friendly

Participatory sensing is a revolutionary new paradigm where ordinary citizens voluntarily sense their environment using readily available sensor devices such as mobile phones and systematically study, and then reflect on and share this information using existing wireless networks. It provides data collection, processing, and dissemination opportunities for socially-responsible applications spanning environmental monitoring, intelligent transportation, and public health, which are often not cost-viable using dedicated sensing infrastructure. The uniqueness of the participatory sensing system lies in its data communication infrastructure which is constituted by the deliberate participation of community people. However, the potential lack of privacy of the participants in such system makes it harder to ensure their voluntary contribution. Thus preserving privacy of the individuals contributing data has introduced a key challenge in this area. On the other hand, data integrity is desired imperatively to make the service trustworthy and user-friendly. Different interesting approaches have been proposed so far to protect privacy that will encourage participation of the owners of data sources in turn.

Privacy-Preserving Truth Discovery in Crowd Sensing Systems

2019 ◽  
Vol 15 (1) ◽  
pp. 1-32 ◽  
Author(s):  
Chenglin Miao ◽  
Wenjun Jiang ◽  
Lu Su ◽  
Yaliang Li ◽  
Suxin Guo ◽  
...  
Keyword(s):  
Privacy Preserving ◽  
Sensing Systems ◽  
Crowd Sensing ◽  
Truth Discovery
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