An Integrated Reward and Reputation Mechanism for MCS Preserving Users’ Privacy

  • Cristian Tanas
  • Sergi Delgado-Segura
  • Jordi Herrera-JoancomartíEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9481)


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.


Incentive Mechanism Blind Signature Reputation System Real Identity Reputation Score 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work is partially supported by the spanish ministry under grant number TIN2014-55243-P and the Catalan AGAUR grant 2014SGR-691.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Cristian Tanas
    • 1
  • Sergi Delgado-Segura
    • 1
  • Jordi Herrera-Joancomartí
    • 1
    Email author
  1. 1.Departament D’Enginyeria de la Informació I Les ComunicacionsUniversitat Autònoma de BarcelonaBarcelonaSpain

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