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
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(6), 776; doi:10.3390/s16060776

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
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)
View Full-Text   |   Download PDF [440 KB, uploaded 27 May 2016]   |  

Abstract

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
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

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.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top