Privacy-preserving crowdsourced spectrum sensing

Xiaocong Jin, Yanchao Zhang

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

30 Scopus citations

Abstract

Crowdsourced spectrum sensing has great potential in improving current spectrum database services. Without strong incentives and location privacy protection in place, however, mobile users will be reluctant to act as mobile crowdsourcing workers for spectrum sensing tasks. In this paper, we present PriCSS, the first framework for a crowdsourced spectrum sensing service provider to select spectrum-sensing participants in a differentially privacy-preserving manner. Thorough theoretical analysis and simulation studies show that PriCSS can simultaneously achieve differential location privacy, approximate social cost minimization, and truthfulness.

Original languageEnglish (US)
Title of host publicationIEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467399531
DOIs
StatePublished - Jul 27 2016
Event35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016 - San Francisco, United States
Duration: Apr 10 2016Apr 14 2016

Publication series

NameProceedings - IEEE INFOCOM
Volume2016-July
ISSN (Print)0743-166X

Other

Other35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016
CountryUnited States
CitySan Francisco
Period4/10/164/14/16

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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  • Cite this

    Jin, X., & Zhang, Y. (2016). Privacy-preserving crowdsourced spectrum sensing. In IEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications [7524588] (Proceedings - IEEE INFOCOM; Vol. 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFOCOM.2016.7524588