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A strategy to balance location privacy and positioning accuracy
Li He1, Junqing Liu1, Peiyao Du1
1School of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China.
Plos One
|May 30, 2024
Summary
This study introduces a balancing strategy for location services, improving mobile user privacy and positioning accuracy. The method optimizes user cooperation to effectively balance location privacy and accuracy in collaborative systems.
Area of Science:
- Computer Science
- Mobile Computing
- Cybersecurity
Background:
- Location services rely on shared user data for privacy protection methods.
- Collaborative location sharing increases privacy leak risks and reduces positioning accuracy.
Purpose of the Study:
- To propose a novel balancing strategy for location services.
- To address the trade-off between mobile user location privacy and positioning accuracy.
Main Methods:
- Modeling user cooperation as an objective optimization problem.
- Evaluating location privacy and positioning accuracy separately.
- Developing an optimization function for selecting optimal strategies.
Main Results:
- The proposed strategy effectively balances location privacy and positioning accuracy.
- Experimental results validate the strategy's effectiveness in collaborative systems.
Conclusions:
- The balancing strategy offers a viable solution for enhancing privacy and accuracy in location-based services.
- This approach optimizes collaborative user interactions for improved outcomes.
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