PEAR: A privacy-enabled architecture for crowdsensing

Alfredo J. Perez, Sherali Zeadally

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

7 Scopus citations

Abstract

Crowdsensing systems are providing solutions to the community in areas such as transportation, security, entertainment and the environment by citizens who use their consumer devices such as cellphones, wearables, and Internet of Things devices to collect various types of sensor data. Privacy is a major issue in these systems because the data collected can potentially reveal aspects considered private by the contributors of data. We propose the Privacy-Enabled ARchitecture (PEAR), a layered architecture aimed at protecting privacy in privacy-aware crowdsensing systems. We identify and describe the layers of the architecture. We propose and evaluate the design of MetroTrack, a crowdsensing system that is based on the proposed PEAR architecture.

Original languageEnglish
Title of host publicationProceedings of the 2017 Research in Adaptive and Convergent Systems, RACS 2017
Pages166-171
Number of pages6
ISBN (Electronic)9781450350273
DOIs
StatePublished - Sep 20 2017
Event2017 International Conference on Research in Adaptive and Convergent Systems, RACS 2017 - Krakow, Poland
Duration: Sep 20 2017Sep 23 2017

Publication series

NameProceedings of the 2017 Research in Adaptive and Convergent Systems, RACS 2017
Volume2017-January

Conference

Conference2017 International Conference on Research in Adaptive and Convergent Systems, RACS 2017
Country/TerritoryPoland
CityKrakow
Period9/20/179/23/17

Bibliographical note

Funding Information:
Alfredo J. Perez was supported by the US National Science Foundation and the US Department of Defense’s ASSURE program under award 1560214. Sherali Zeadally’s work was supported by a University Research Professorship Award from the University of Kentucky in 2016.

Publisher Copyright:
© 2017 Association for Computing Machinery.

Keywords

  • Community-based Sensing
  • Crowdsensing
  • Internet of Things
  • Opportunistic Sensing
  • Participatory Sensing
  • Privacy
  • Security
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Computer Science (all)
  • Control and Systems Engineering

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