INCEPTION: Incentivizing privacy-preserving data aggregation for mobile crowd sensing systems

Haiming Jin, Lu Su, Houping Xiao, Klara Nahrstedt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The recent proliferation of human-carried mobile devices has given rise to mobile crowd sensing (MCS) systems that outsource the collection of sensory data to the public crowd equipped with various mobile devices. A fundamental issue in such systems is to effectively incentivize worker participation. However, instead of being an isolated module, the incentive mechanism usually interacts with other components which may affect its performance, such as data aggregation component that aggregates workers' data and data perturbation component that protects workers' privacy. Therefore, different from past literature, we capture such interactive effect, and propose INCEPTION, a novel MCS system framework that integrates an incentive, a data aggregation, and a data perturbation mechanism. Specifically, its incentive mechanism selects workers who are more likely to provide reliable data, and compensates their costs for both sensing and privacy leakage. Its data aggregation mechanism also incorporates workers' reliability to generate highly accurate aggregated results, and its data perturbation mechanism ensures satisfactory protection for workers' privacy and desirable accuracy for the final perturbed results. We validate the desirable properties of INCEPTION through theoretical analysis, as well as extensive simulations.

Original languageEnglish (US)
Title of host publicationMobiHoc 2016 - Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing
PublisherAssociation for Computing Machinery
Pages341-350
Number of pages10
ISBN (Electronic)9781450341844
DOIs
StatePublished - Jul 5 2016
Event17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2016 - Paderborn, Germany
Duration: Jul 5 2016Jul 8 2016

Publication series

NameProceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)
Volume05-08-July-2016

Conference

Conference17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2016
CountryGermany
CityPaderborn
Period7/5/167/8/16

Keywords

  • Crowd sensing
  • Data aggregation
  • Incentive mechanism
  • Privacy-preserving

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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