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机构地区:[1]东南大学计算机科学与工程学院,江苏南京211189 [2]计算机网络和信息集成教育部重点实验室(东南大学),江苏南京211189
出 处:《软件学报》2016年第7期1805-1821,共17页Journal of Software
基 金:国家自然科学基金(61370077;61003057)~~
摘 要:近年来,位置服务中的隐私保护问题得到了研究者的持续关注,特别是近邻查询中位置隐私保护问题更是得到了广泛的研究.已有工作缺少对查询者个性化隐私偏好约束的系统研究,位置隐私与查询服务质量的兼顾,在隐私偏好约束下尤为困难:(1)偏好强调个性与隐私模型侧重共性存在矛盾;(2)偏好对查询中间结果动态可控依赖与查询简化中间结果的思想相抵触;(3)连续查询中,支持隐私偏好存在基于候选解集攻击的风险.结合上述问题,提出保护位置隐私近邻查询中的隐私偏好问题,从位置隐藏原理及近邻查询性能与保护位置隐私内在制约机理的角度,对已有的位置隐藏与查询处理方法的性能及其对隐私偏好支持能力进行论述分析.进一步地,对支持隐私偏好与保护位置隐私查询内在制约机理进行了剖析,分析保护位置隐私近邻查询中支持隐私偏好需解决的主要问题,并对所归纳问题的可能解决方法进行了展望.Privacy protection problem in location based service receives continuous attentions in recent years, especially for location privacy protection in location based nearest neighbors query. Existing work however often neglects or fails to cultivate in accommodating query users' privacy preference requirements. The constraint of privacy preference burdens the trade-off between location privacy protection and quality of service in privacy-aware location based query service. Several issues need to be addressed:(1) Privacy preferences contradict with privacy models diametrically in terms of personality and commonality they focus on;(2) There is a dilemma between privacy preferences and query performance that preferences require intermediate query results be dynamic and adjustable while simplified intermediate query results commonly promise good performances; and(3) Privacy preferences incur the attack originated from intersection inferring to candidate answer sets in continuous location based queries. In this survey, the privacy preference problem in location based nearest neighbor query is identified and presented. The performance of existing location obfuscation and query techniques, as well as their ability in accommodating users' privacy preferences, are discussed in terms of location obfuscation principle and inherent restricting mechanism between nearest neighbor query performance and location protection. Subsequently, inherent restricting mechanism between location privacy preserving nearest neighbors query and privacy preference support is detailed, and some major problems originated from location privacy preference are demonstrated. Finally, some possible solutions to these problems are elaborated and the future research work is suggested.
分 类 号:TP309[自动化与计算机技术—计算机系统结构]
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