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Secure hitch in location based social networks

机译:基于位置的社交网络安全连接

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摘要

Location based services are increasingly popular, partly due to the trend of smartphone and online social network service adoption. However, it is important for location-based service provider (LBSP) to ensure user location privacy in the provision of such services. In this paper, we present a secure hitch service in location based social networks (LBSNs). To provide such a service, we propose a privacy-preserving proximity based location query (PPLQJ protocol, which is based on the hierarchical predicate encryption technique and the prefix membership verification technique. There are two types of users in this system, namely: the querier and the publisher. Our protocol allows a querier to query the location of publishers using multi-dimensional search, and it enforces distance based access control in the location queries. In order to improve the efficiency of our protocol, we use the multi-scale technique to represent user's location information in the query condition and searchable index. The proposed protocol is designed to achieve multi-dimensional keyword search and bilateral private proximity testing simultaneously. Our protocol enables each user to independently define his/her own location policy for private proximity testing. In particular, we propose some solutions to reduce the search time cost of the CSP so that the time cost is acceptable for queriers. Finally, we demonstrate the utility of the protocol using simulated data on the map of the city area of Changsha and a U.S. census dataset. (C) 2017 Elsevier B.V. All rights reserved.
机译:基于位置的服务越来越受欢迎,部分原因是智能手机和在线社交网络服务采用的趋势。但是,对于基于位置的服务提供商(LBSP),在提供此类服务时确保用户位置的隐私非常重要。在本文中,我们提出了基于位置的社交网络(LBSN)中的安全联结服务。为了提供这种服务,我们提出了一种基于隐私保护的基于位置的邻近查询(PPLQJ协议),该协议基于分层谓词加密技术和前缀成员身份验证技术,该系统中有两种类型的用户:查询器。我们的协议允许查询者使用多维搜索查询发布者的位置,并在位置查询中实施基于距离的访问控制。为了提高协议的效率,我们使用了多尺度技术可以在查询条件和可搜索索引中表示用户的位置信息,该协议旨在同时实现多维关键字搜索和双边私有接近度测试,我们的协议使每个用户可以独立定义自己的位置策略以进行私有接近度测试特别是,我们提出了一些解决方案来减少CSP的搜索时间成本,从而节省时间成本查询器可接受。最后,我们使用长沙市区地图上的模拟数据和美国人口普查数据集证明了该协议的实用性。 (C)2017 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Computer Communications》 |2017年第1期|65-77|共13页
  • 作者单位

    Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China|Hunan Univ Sci & Technol, Coll Comp Sci & Engn, Xiangtan 411201, Hunan, Peoples R China;

    Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China;

    Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China;

    Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China;

    Changsha Univ Sci & Technol, Coll Comp & Commun Engn, Changsha 410076, Hunan, Peoples R China;

    Univ Texas San Antonio, Dept Informat Syst & Cyber Secur, San Antonio, DC 78249 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Location based social networks; Location privacy; Private proximity detection; Multi-keyword dimensional search;

    机译:基于位置的社交网络;位置隐私;私密性接近检测;多关键字维度搜索;

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