Journal of Northeastern University(Natural Science) ›› 2022, Vol. 43 ›› Issue (12): 1702-1708.DOI: 10.12068/j.issn.1005-3026.2022.12.005

• Information & Control • Previous Articles     Next Articles

A Location Privacy Protection Method Based on Secure Index

ZHANG Jing, LI Chuan-wen   

  1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China.
  • Published:2022-12-26
  • Contact: LI Chuan-wen
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Abstract: Location based services(LBS)bring great convenience to people’s daily life, but also seriously threaten user’s privacy. In order to reduce user’s query cost while protecting user’s location privacy, a location privacy protection method based on secure index(LPPMSI)is proposed. LPPMSI does not need user to collect the information about data. Data owner establishes a secure index for the dummy location information. The user can retrieve the dummy location information safely and quickly, and then the server executes the LBS. At the same time, a candidate location selection algorithm based on a sliding window is proposed to reduce the computation time. The experimental results show that the LPPMSI does not require users to spend a lot of time collecting information about data distribution and query probability, under the premise that the privacy protection ability is unchanged.

Key words: dummy location selection; secure index; spatial database; location based service; location privacy protection

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