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On the interactions between privacy-preserving, incentive, and inference mechanisms in participatory sensing systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

In Participatory Sensing (PS) systems people agree to utilize their cellular phone resources to sense and transmit the data of interest. Although PS systems have the potential to collect enormous amounts of data to discover and solve new collective problems, they have not been very successful in practice, mainly because of lack of incentives for participation and privacy concerns. Therefore, several incentive and privacy-preserving mechanisms have been proposed. However, these mechanisms have been traditionally studied in isolation overseeing the interaction between them. In this paper we include a model and implement several of these mechanisms to study the interactions and effects that they may have on one another and, more importantly, on the quality of the information that the system provides to the final user. Our experiments show that privacy-preserving mechanisms and incentive mechanisms may in fact affect each other's performance and, more importantly, the quality of the information to the final user.

Original languageEnglish
Title of host publicationNetwork and System Security - 7th International Conference, NSS 2013, Proceedings
Pages614-620
Number of pages7
DOIs
StatePublished - 2013
Event7th International Conference on Network and System Security, NSS 2013 - Madrid, Spain
Duration: 03 Jun 201304 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7873 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Network and System Security, NSS 2013
Country/TerritorySpain
CityMadrid
Period03/06/1304/06/13

Keywords

  • P-sense
  • Participatory sensing
  • incentive mechanisms
  • inference mechanisms
  • privacy-preserving

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