A Novel Location Privacy-Preserving Approach Based on Blockchain

Area of Science:

• Computer Science
• Information Security

Background:

• Location-based services (LBS) offer convenience but pose significant privacy risks.
• Existing privacy protection methods struggle to balance service quality with user privacy.

Purpose of the Study:

• To propose a novel blockchain-based location privacy protection method for LBS.
• To address the limitations of current privacy architectures and technologies.

Main Methods:

• Developed a k-anonymity compliant privacy protection method utilizing multiple private blockchains.
• Implemented a reward mechanism to incentivize user participation.
• Utilized the Remix blockchain for efficient implementation and testing.

Main Results:

• The proposed method enhances location privacy without compromising service quality.
• Decentralized transaction record dispersal across blockchains strengthens user privacy.
• Demonstrated efficiency and potential for distributed network environments.

Conclusions:

• Blockchain technology offers a robust solution for LBS location privacy.
• The decentralized approach eliminates the need for trusted third-party anonymizing servers.
• The method shows promise for practical application in enhancing LBS privacy.