Location privacy protection technology based on KHINN

Lijin ZHUANG; Yuyi OU; Jie LING

doi:10.11959/j.issn.1000-0801.2016205

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Location privacy protection technology based on KHINN

Research and Development | 更新时间：2024-06-05

- Location privacy protection technology based on KHINN
- Telecommunications Science Vol. 32, Issue 9, Pages: 89-94(2016)
- 作者机构：
- 作者简介：
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- DOI：10.11959/j.issn.1000-0801.2016205
  CLC： TP309
- Published Online：2016-09，
  
  Published：15 September 2016
- 稿件说明：
移动端阅览
Lijin ZHUANG, Yuyi OU, Jie LING. Location privacy protection technology based on KHINN[J]. Telecommunications science, 2016, 32(9): 89-94.
DOI：

Lijin ZHUANG, Yuyi OU, Jie LING. Location privacy protection technology based on KHINN[J]. Telecommunications science, 2016, 32(9): 89-94. DOI： 10.11959/j.issn.1000-0801.2016205.

摘要

针对用户在获得位置服务的同时，用户的位置隐私可能会被泄露的问题，采用协作的分布式模型，移动终端和LBS服务器这两端都使用k-匿名机制，提出基于k-匿名的均衡增量近邻(KHINN)查询方法。该方法在移动终端构造匿名用户组时，利用安全多方求和的技术计算锚点以保证用户隐私；在处理查询结果时，使用基于k-匿名的SpaceTwist方法提高查询隐私度和准确度。经过性能分析和实验结果表明，在考虑用户节点之间半可信或不可信的情况下，可以解决SpaceTwist方法中的查询兴趣点围绕锚点分布不均衡的缺陷问题，提高查询准确度。

Abstract

Aiming at the problem that the user’s location privacy may be leaked while users obtain location-based services

mobile terminal and LBS server the ends use k-anonymity mechanisms using the collaborative distributed model.Balanced incremental nearest neighbor (KHINN)query method based on k-anonymity was proposed.When the method structuring anonymous user group in mobile terminal

secure multiparty summation was used to calculate the anchor point to ensure user privacy;when processing the query results

SpaceTwist method based on k-anonymity was used to improve the query privacy and accuracy.Performance analysis and experimental results show that undering the condition of semi trusted or untrusted users between nodes

the proposed method can solve defects of uneven distribution of discovering points around the anchor point in SpaceTwist method and improve the accuracy of the query.

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references

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