基于位置服务在受限网络中的个人隐私保护技术研究

项目名称： 基于位置服务在受限网络中的个人隐私保护技术研究

项目编号： No.61303017

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 潘晓

作者单位： 石家庄铁道大学

项目金额： 25万元

中文摘要： 随着无线通信和移动定位技术发展，基于位置服务在全球移动运营商的重视和推广下，正成为最具增长性的新业务之一。人们在感叹基于位置服务为工作生活带来便利的同时，也意识到个人隐私和安全受到了威胁。所以有关个人隐私信息泄漏问题逐渐成为当今国内外学者研究的热点之一。本项目从自由空间中的在线个人隐私保护技术、受限网络中的在线个人隐私保护技术和移动数据库数据发布中的轨迹隐私保护技术三个不同场景，深入分析了国内外在位置服务中有关个人隐私保护技术的研究现状。在此基础上，本项目拟从受限网络特点出发，针对自由空间和受限网络中现有技术缺陷，系统研究基于位置服务在受限网络中隐私保护技术的基本理论和实现方法，重点研究基于受限网络的攻击者背景知识挖掘、感知受限网络特质的个性匿名模型、高效隐私保护算法和评价标准四个方面问题。通过本项目的研究为基于位置服务中的隐私保护技术进一步深入研究与应用提供理论方法、技术支撑和新的思路。

中文关键词： 基于位置服务；受限空间；隐私保护；移动计算；

英文摘要： With advances in wireless communication and mobile positioning technologies, location-based services (LBSs) have been gaining increasingly popularity in recent years. While people get much benefit from the useful and convenient information provided by LBSs, the privacy threat of revealing a mobile user's personal information has become a severe issue. Thus, privacy preservation in LBSs has been received considerable attention from the database community in the past few years. In this project, we first survey the state of the art of privacy protection techniques in location based services from three typical scenarios: online privacy preserving in the Euclidean space, online privacy preserving on the constrained network, and the offline trajectory privacy protection in data publishing. Then, based on the features of the constrained network, this project aims at systematic exploring the basic theory and implementation methods for privacy preserving on constrained network in LBSs. And we mainly focus on four key issues: the adversary background knowledge mining, personalized privacy model, efficient anonymization methods, and evaluation metrics on the constrained network. These studies will provide new ideas, theoretical methods and technical support for further research for privacy protection in location-based serv

英文关键词： LBSs；Constrained Network；Privacy Preserving；Mobile Computing；