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Privacy-Preserving Location-Based Service Scheme for Mobile Sensing Data.

Qingqing Xie1, Liangmin Wang2

  • 1School of Computer Science and Technology, Anhui University, Hefei 230601, China. xieqn@ahu.edu.cn.

Sensors (Basel, Switzerland)
|November 30, 2016
PubMed
Summary

This study introduces a privacy-preserving method for location-based services (LBS) using mobile sensing data. It enables efficient location computations on untrusted clouds without compromising user privacy.

Keywords:
location-based servicemobile cloudmobile sensingprivacy preservation

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Area of Science:

  • Computer Science
  • Cryptography
  • Mobile Computing

Background:

  • Mobile sensing generates vast amounts of location-embedded data stored in cloud services.
  • Utilizing this data for location-based services (LBS) is challenging due to privacy concerns and data encryption.
  • Untrusted cloud environments necessitate robust privacy-preserving techniques for sensitive location data.

Purpose of the Study:

  • To develop a privacy-preserving LBS scheme for mobile sensing data.
  • To enable efficient location distance computation and comparison on untrusted mobile clouds.
  • To ensure location privacy is maintained while providing LBS.

Main Methods:

  • The proposed scheme combines the Rivest, Shamir, and Adleman (RSA) algorithm with ciphertext policy attribute-based encryption (CP-ABE).
  • This approach allows cloud service providers (CSPs) to perform computations on encrypted location data.
  • Security is enhanced through cryptographic methods to prevent privacy leakage.

Main Results:

  • The scheme allows efficient location distance computing and comparison for authorized users.
  • Location privacy is preserved, preventing leakage even on untrusted mobile clouds.
  • Theoretical security analysis confirms resistance against chosen plaintext attacks (CPA).

Conclusions:

  • The developed privacy-preserving LBS scheme is secure and efficient for practical mobile sensing applications.
  • It effectively addresses the challenge of utilizing encrypted location data for LBS.
  • The method offers a viable solution for balancing LBS functionality with user privacy.