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A stochasticlocation privacy protection scheme for edge computing.

Yuan Tian1, Biao Song2, Mznah Al Rodhaan3

  • 1School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China.

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|April 3, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a privacy protection scheme for location-based services in edge computing. It masks users' exact locations using density maps to ensure privacy against honest but curious edge nodes.

Keywords:
edge computinglocation privacylocation-based service

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Area of Science:

  • Computer Science
  • Ubiquitous Computing
  • Network Security

Background:

  • Location-based services (LBS) are rapidly growing, enabled by mobile devices.
  • Edge computing presents unique privacy challenges due to data sharing among peers.
  • Protecting user location data is crucial to prevent information leakage.

Purpose of the Study:

  • To propose a novel privacy protection scheme for LBS in edge computing environments.
  • To ensure user location privacy without exposing exact geographical coordinates to edge nodes.
  • To develop a method that is practical for honest but curious edge computing scenarios.

Main Methods:

  • A stochastic location privacy protection scheme is proposed.
  • Utilizes long-term and short-term density maps to analyze surrounding user geographical distribution.
  • Implements a cloaking scheme to transform exact locations into cloaked areas ensuring a k-user probability.

Main Results:

  • The proposed scheme effectively protects exact user location information.
  • Experimental results demonstrate the efficiency and effectiveness of the privacy protection method.
  • Performance analysis shows adaptability to varying privacy protection requirements.

Conclusions:

  • The developed scheme provides a viable solution for location privacy in edge computing.
  • It successfully balances LBS utility with robust privacy preservation.
  • The approach is suitable for real-world applications where edge nodes are potentially curious.