Location Privacy Preservation in Cognitive Radio Networks

  • Wei Wang
  • Qian Zhang

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Wei Wang, Qian Zhang
    Pages 1-21
  3. Wei Wang, Qian Zhang
    Pages 23-50
  4. Wei Wang, Qian Zhang
    Pages 67-70
  5. Back Matter
    Pages 71-76

About this book


This brief focuses on the current research on location privacy preservation in cognitive radio networks (CRNs). Along with a review of the existing works, this book includes fundamental privacy models, possible frameworks, useful performance, and future research directions. It explores privacy preservation techniques, collaborative spectrum sensing, database-driven CRNS, and modeling potential privacy threats. Conflicts between database owners and unlicensed users can compromise location privacy, and CRNs are a means to mitigate the spectrum scarcity issue due to the increasing demand for wireless channel resources. By examining the current and potential privacy threats, the authors equip readers to understand this developing issue. The brief is designed for researchers and professionals working with computer communication networks and cognitive radio networks. Graduate students interested in networks and communication engineering will also find the brief helpful.


Cognitive radio Database-Driven Cognitive Radio Networks Location privacy Privacy Preservation Techniques Privacy Threats Spatial cloaking Spectrum sensing

Authors and affiliations

  • Wei Wang
    • 1
  • Qian Zhang
    • 2
  1. 1.Department of Computer Science and EngineeringHong Kong University of Science and TechnologyKowloonHong Kong SAR
  2. 2.Department of Computer Science and EngineeringHong Kong University of Science and TechnologyKowloonHong Kong SAR

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-01942-0
  • Online ISBN 978-3-319-01943-7
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site
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