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Reputation and Reward: Two Sides of the Same Bitcoin

Delgado-Segura, S; Tanas, C; Herrera-Joancomart, J; (2016) Reputation and Reward: Two Sides of the Same Bitcoin. Sensors , 16 (6) 10.3390/s16060776. Green open access

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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.

Type: Article
Title: Reputation and Reward: Two Sides of the Same Bitcoin
Open access status: An open access version is available from UCL Discovery
DOI: 10.3390/s16060776
Publisher version: https://doi.org/10.3390/s16060776
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Keywords: Science & Technology, Physical Sciences, Technology, Chemistry, Analytical, Electrochemistry, Instruments & Instrumentation, Chemistry, mobile crowd sensing, cryptocurrencies, reputation systems, privacy, bitcoin, PARTICIPATORY SENSING SYSTEMS, NETWORKS, FRAMEWORK, TRUST
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/10060288
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