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Reputation and Reward: Two Sides of the Same Bitcoin

In Mobile Crowd Sensing (MCS), the power of the crowd, jointly with the sensing capabilities of the smartphones they wear, provides a new paradigm for data sensing. Scenarios involving user behavior or those that rely on user mobility are examples where standard sensor networks may not be suitable,...

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Autores principales: Delgado-Segura, Sergi, Tanas, Cristian, Herrera-Joancomartí, Jordi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934202/
https://www.ncbi.nlm.nih.gov/pubmed/27240373
http://dx.doi.org/10.3390/s16060776
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author Delgado-Segura, Sergi
Tanas, Cristian
Herrera-Joancomartí, Jordi
author_facet Delgado-Segura, Sergi
Tanas, Cristian
Herrera-Joancomartí, Jordi
author_sort Delgado-Segura, Sergi
collection PubMed
description In Mobile Crowd Sensing (MCS), the power of the crowd, jointly with the sensing capabilities of the smartphones they wear, provides a new paradigm for data sensing. Scenarios involving user behavior or those that rely on user mobility are examples where standard sensor networks may not be suitable, and MCS provides an interesting solution. However, including human participation in sensing tasks presents numerous and unique research challenges. In this paper, we analyze three of the most important: user participation, data sensing quality and user anonymity. We tackle the three as a whole, since all of them are strongly correlated. As a result, we present PaySense, a general framework that incentivizes user participation and provides a mechanism to validate the quality of collected data based on the users’ reputation. All such features are performed in a privacy-preserving way by using the Bitcoin cryptocurrency. Rather than a theoretical one, our framework has been implemented, and it is ready to be deployed and complement any existing MCS system.
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spelling pubmed-49342022016-07-06 Reputation and Reward: Two Sides of the Same Bitcoin Delgado-Segura, Sergi Tanas, Cristian Herrera-Joancomartí, Jordi Sensors (Basel) Article In Mobile Crowd Sensing (MCS), the power of the crowd, jointly with the sensing capabilities of the smartphones they wear, provides a new paradigm for data sensing. Scenarios involving user behavior or those that rely on user mobility are examples where standard sensor networks may not be suitable, and MCS provides an interesting solution. However, including human participation in sensing tasks presents numerous and unique research challenges. In this paper, we analyze three of the most important: user participation, data sensing quality and user anonymity. We tackle the three as a whole, since all of them are strongly correlated. As a result, we present PaySense, a general framework that incentivizes user participation and provides a mechanism to validate the quality of collected data based on the users’ reputation. All such features are performed in a privacy-preserving way by using the Bitcoin cryptocurrency. Rather than a theoretical one, our framework has been implemented, and it is ready to be deployed and complement any existing MCS system. MDPI 2016-05-27 /pmc/articles/PMC4934202/ /pubmed/27240373 http://dx.doi.org/10.3390/s16060776 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Delgado-Segura, Sergi
Tanas, Cristian
Herrera-Joancomartí, Jordi
Reputation and Reward: Two Sides of the Same Bitcoin
title Reputation and Reward: Two Sides of the Same Bitcoin
title_full Reputation and Reward: Two Sides of the Same Bitcoin
title_fullStr Reputation and Reward: Two Sides of the Same Bitcoin
title_full_unstemmed Reputation and Reward: Two Sides of the Same Bitcoin
title_short Reputation and Reward: Two Sides of the Same Bitcoin
title_sort reputation and reward: two sides of the same bitcoin
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934202/
https://www.ncbi.nlm.nih.gov/pubmed/27240373
http://dx.doi.org/10.3390/s16060776
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