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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.
Mathematical Biosciences and Engineering : MBE
|April 3, 2020
Summary
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.
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.
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