A location-based service scheme with attribute information privacy

Area of Science:

• Computer Science
• Information Security
• Mobile Computing

Background:

• Traditional private information retrieval (PIR) schemes in location-based services (LBS) face challenges with processing time and attribute privacy.
• Existing methods often fail to adequately protect user attributes like query frequency or movement patterns.

Purpose of the Study:

• To propose a novel PIR scheme for LBS that addresses the limitations of traditional methods.
• To enhance both personal privacy and attribute privacy for users in LBS.
• To reduce the processing overhead associated with privacy preservation in LBS.

Main Methods:

• The study leverages ciphertext policy attribute-based encryption (CP-ABE) to construct the privacy preservation scheme.
• A secure two-party computation approach is employed for encrypting queries and feedback between the user and LBS server.
• The scheme is designed to protect sensitive user attributes beyond basic location data.

Main Results:

• The proposed scheme, LPPCAP (location privacy preservation scheme with CP-ABE based PIR), effectively preserves user attribute privacy, including query frequency and movement patterns.
• It significantly reduces processing time compared to traditional indexing-based PIR schemes.
• Security and availability analyses confirm the scheme's robustness and practicality.

Conclusions:

• The developed CP-ABE based PIR scheme offers a viable solution for enhancing privacy in LBS.
• It successfully balances privacy protection with efficient service quality.
• The findings are validated through theoretical analysis and experimental comparisons, demonstrating effectiveness and usability.