An integrated reward and reputation mechanism for MCS preserving users’ privacy

Cristian Tanas; Sergi Delgado-Segura; Jordi Herrera-Joancomartí

doi:10.1007/978-3-319-29883-2_6

An integrated reward and reputation mechanism for MCS preserving users’ privacy

Cristian Tanas, Sergi Delgado-Segura, Jordi Herrera-Joancomartí^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

9 Citations (Scopus)

Abstract

Mobile Crowd Sensing (MCS) presents numerous and unique research challenges most of them based on the fact that human participation is in the loop. In this paper we analyse three of the most important: user participation, data sensing quality and user anonymity. To solve them, we present PaySense, a general framework for user rewarding and reputation accountability that preserves users’ privacy using cryptocurrencies. Furthermore, we detailed an implementable system using bitcoins.

Original language	American English
Pages (from-to)	83-99
Number of pages	17
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOIs	https://doi.org/10.1007/978-3-319-29883-2_6
Publication status	Published - 2016

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10.1007/978-3-319-29883-2_6

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title = "An integrated reward and reputation mechanism for MCS preserving users{\textquoteright} privacy",

abstract = "Mobile Crowd Sensing (MCS) presents numerous and unique research challenges most of them based on the fact that human participation is in the loop. In this paper we analyse three of the most important: user participation, data sensing quality and user anonymity. To solve them, we present PaySense, a general framework for user rewarding and reputation accountability that preserves users{\textquoteright} privacy using cryptocurrencies. Furthermore, we detailed an implementable system using bitcoins.",

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An integrated reward and reputation mechanism for MCS preserving users’ privacy. / Tanas, Cristian; Delgado-Segura, Sergi; Herrera-Joancomartí, Jordi.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, p. 83-99.

Research output: Contribution to journal › Article › Research › peer-review

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AU - Tanas, Cristian

AU - Delgado-Segura, Sergi

AU - Herrera-Joancomartí, Jordi

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AB - Mobile Crowd Sensing (MCS) presents numerous and unique research challenges most of them based on the fact that human participation is in the loop. In this paper we analyse three of the most important: user participation, data sensing quality and user anonymity. To solve them, we present PaySense, a general framework for user rewarding and reputation accountability that preserves users’ privacy using cryptocurrencies. Furthermore, we detailed an implementable system using bitcoins.

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DO - 10.1007/978-3-319-29883-2_6

M3 - Artículo

AN - SCOPUS:84961133233

SP - 83

EP - 99

ER -

An integrated reward and reputation mechanism for MCS preserving users’ privacy

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