北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2017, Vol. 40 ›› Issue (6): 37-42.doi: 10.13190/j.jbupt.2017-103

• 论文 • 上一篇    下一篇

路网环境下基于不经意传输的LBS隐私保护方法

周长利1, 蔡绍滨1,2, 王田1, 马春光2   

  1. 1. 华侨大学 计算机科学与技术学院, 福建 厦门 361021;
    2. 哈尔滨工程大学 计算机科学与技术学院, 哈尔滨 150001
  • 收稿日期:2017-06-07 出版日期:2017-12-28 发布日期:2017-12-28
  • 作者简介:周长利(1985-),男,讲师,E-mail:zhouchangli666@163.com.
  • 基金资助:
    国家自然科学基金项目(61472097,61772148);福建省自然科学基金项目(2016J05158);福建省高校杰出青年科研人才培育计划(MJK2015-54);华侨大学科研基金项目(15BS412).

LBS Privacy Preservation Scheme Based on Oblivious Transfer in Road Network Environment

ZHOU Chang-li1, CAI Shao-bin1,2, WANG Tian1, MA Chun-guang2   

  1. 1. School of Computer Science and Technology, Huaqiao University, Fujian Xiamen 361021, China;
    2. School of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China
  • Received:2017-06-07 Online:2017-12-28 Published:2017-12-28
  • Supported by:
     

摘要: 基于位置服务(LBS)中的隐私保护方法存在如下常见问题:重视用户端隐私保护而容易忽略LBS服务端的数据安全;隐私保护强度高的方法实用效率低;隐私保护方法大多面向欧氏空间提出,无法适用路网环境,查询准确率低.针对上述问题,基于不经意传输提出了一种LBS兴趣点查询服务中的隐私保护方法,在保护用户位置和查询内容隐私的同时确保LBS服务端数据安全,并能确保路网连续查询的效率和准确率.性能分析及实验结果表明,新方法具有较强的安全性和良好的工作效率.

关键词: 基于位置的服务, 隐私保护, K近邻查询, 服务端数据安全

Abstract: There are three common defects in existing location based service (LBS) privacy-preserving methods:only considering privacy preservation of the user without caring about data security of LBS server. The stronger a privacy-preserving method is, the less practical it is. Privacy-preserving methods are usually proposed based on the Euclidean space without considering actual factors in road network, and the query accuracy declines consequently. To solve the above problems, an LBS privacy-preserving scheme was proposed based on oblivious transfer with special distribution information for points of interest in road network. This scheme ensures data security of LBS server while preserving the user's location privacy and query content privacy, at the same time, it is applicable for continuous query in road network and guarantees the query efficiency and accuracy. Performance analysis and extensive experiments show that this scheme ensures strong security and works efficiently.

Key words: location-based service, privacy preservation, K nearest neighbor query, data security of server side

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