Next Article in Journal
Correction: Abazari, A.M., et al. Modelling the Size Effects on the Mechanical Properties of Micro/Nano Structures. Sensors 2015, 15, 28543–28562
Next Article in Special Issue
TripSense: A Trust-Based Vehicular Platoon Crowdsensing Scheme with Privacy Preservation in VANETs
Previous Article in Journal
Molecular Spectrum Capture by Tuning the Chemical Potential of Graphene
Previous Article in Special Issue
1-RAAP: An Efficient 1-Round Anonymous Authentication Protocol for Wireless Body Area Networks
Open AccessArticle

Reputation and Reward: Two Sides of the Same Bitcoin

Departament d’Enginyeria de la Informació i les Comunicacions, Universitat Autònoma de Barcelona, Bellaterra, Barcelona 08193, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Rongxing Lu
Sensors 2016, 16(6), 776; https://doi.org/10.3390/s16060776
Received: 11 April 2016 / Revised: 9 May 2016 / Accepted: 20 May 2016 / Published: 27 May 2016
(This article belongs to the Special Issue Security and Privacy in Sensor Networks)
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. View Full-Text
Keywords: mobile crowd sensing; cryptocurrencies; reputation systems; privacy; bitcoin mobile crowd sensing; cryptocurrencies; reputation systems; privacy; bitcoin
Show Figures

Figure 1

MDPI and ACS Style

Delgado-Segura, S.; Tanas, C.; Herrera-Joancomartí, J. Reputation and Reward: Two Sides of the Same Bitcoin. Sensors 2016, 16, 776.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop