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路网环境下基于伪随机置换的LBS隐私保护方法研究 被引量:6

Research on LBS privacy preservation based on pseudorandom permutation in road network
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摘要 针对路网连续查询用户的位置隐私和查询内容隐私保护问题,提出一种基于伪随机置换的隐私保护方法。首先,基于路网顶点(锚点)组织兴趣点(Po I)分布信息,以单个路网顶点为基本处理对象,构造基于伪随机置换的LBS服务端兴趣点记录置换方案,该方案以32 bit随机种子生成置换表,并对兴趣点记录进行加密和置换处理后存入数据库;然后,可信中心服务器代理用户以目标类型兴趣点记录号发起查询,LBS服务器无法确定用户真实位置及查询内容,实现了保护隐私的秘密检索;最后,对查询准确性、数据分组量和处理时间进行了对比分析实验,性能分析证明了所提方法具有位置不可追踪性和查询内容不可关联性。 A method of privacy preservation based on pseudorandom permutation was put forward for the issues of loca-tion privacy and query content privacy. Firstly, the distribution information of points of interest (PoI) based on the ver-texes in the road network was organized, each single road vertex was taken as the foundational processing object. Based on the pseudorandom permutation, a permutation scheme of the point-of-interest records at the LBS server's end was put forward, a 32-bit random seed was adopted to generate a permuted table in the scheme, and the point-of-interest records were encrypted and permuted according to the table. These processed records were stored in the LBS database. Then a trusted intermediate server, replacing of the user, issued a query request with a record number instead of the query content to the LBS server. The LBS server could not determine which kind of PoI the user was interested in or which road section the user was locating on, and therefore the scheme achieved private information retrieval. Finally, the efficiency in the metrics of query accuracy, communication overhead and processing time was also analyzed. By the performance analysis and extensive experiments, the proposed scheme is proved to be location untraceable and query content uncorrelation.
作者 周长利 田晖 马春光 杨松涛 ZHOU Chang-li TIAN Hui MA Chun-guang YANG Song-tao(School of Computer Science and Technology, Huaqiao University, Xiamen 361021, China School of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China)
出处 《通信学报》 EI CSCD 北大核心 2017年第6期19-29,共11页 Journal on Communications
基金 国家自然科学基金资助项目(No.61370007 No.61472097 No.U1405254 No.U1536115) 福建省高校新世纪优秀人才计划基金资助项目(No.2014FJ-NCET-ZR06 No.MJK2016-23) 福建省自然科学青年基金资助项目(No.2016J05158) 福建省高校杰出青年科研人才培育计划基金资助项目(No.MJK2015-54) 华侨大学科研基金资助项目(No.15BS412)~~
关键词 基于位置的服务 隐私保护 K近邻查询 不可追踪性 不可关联性 location-based service, privacy preservation, K nearest neighbor query, untraceable, uncorrelation
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  • 1潘晓,肖珍,孟小峰.位置隐私研究综述[J].计算机科学与探索,2007,1(3):268-281. 被引量:65
  • 2雷浩,冯登国,周永彬,张振锋.面向有差异群体的联合决策方案[J].电子学报,2005,33(8):1523-1528. 被引量:1
  • 3Mokbel M F, Chow C Y, Aref W G. The new Casper: Query processing for location services without compromising privacy [C] //Proc of the 32nd Int Conf on Very Large Data Bases (VLDB). New York: ACM, 2006:763-774.
  • 4Chow C, Mokbel M F. Enabling privacy continuous queries for revealed user locations [C]//LNCS 4605 : Proc of the Int Syrup on Advances in Spatial and Temporal Databases (SSTD). Berlin: Springer, 2007.
  • 5Gruteser M, Grunwal D. Anonymous usage of location-based services through spatial and temporal cloaking [C] //Proe of the Int Conf on Mobile Systems, Applications, and Services (MobiSys). New York: ACM, 2003:163-168.
  • 6Xiao Zhen, Xu Jianliang, Meng Xiaofeng. P-sensitivity: A semantic privacy-protection model for location-based services [C] //Proc of the 2nd Int Workshop on PriVacy-Aware Location-Based Mobile Services(PALMS). Piscataway, NJ: IEEE, 2008:47-54.
  • 7Bamba B, Liu L. Supporting anonymous location queries in mobile environments with privacy grid [C] //Proc of Int Conf on World Wide Web (WWW). New York: ACM, 2008: 237-246.
  • 8Kido H, Yanagisawa Y, Satoh T. Protection of location privacy using dummies for location-based services [C]//Proc of the 26th Int Conf on the Physics of Semiconductors (ICPS). Piseataway, NJ: IEEE, 2005: 1248-1248.
  • 9Ghinita G, Kalnis P, Khoshgozaran A, et al. Private queries in location based services: Anonymizers are not necessary [C] //Proe of ACM SIGMOD 2008. New York: ACM, 2008.
  • 10Xu T, Cai Y. Location anonymity in continuous location based services [C]//Proc of Int Symp on Advances in Geographic Information Systems(GIS). New York: ACM, 2007.

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