位置服务中场景关联的隐私保护机制研究

The well-developed information services has infiltrated in each part of our daily life, Location-Based Services (LBSs), as one of the most popular activity among novel service modes, have been an important factor helping us to reach the intelligent life. However, we enjoy the convenience brought by the LBS-related applications, at the cost of our privacy. This situation becomes more serious with the increasing number of the applications and the user requirements. To address this problem, we make a comprehensive study on the problems of privacy level, quality of services as well as the resource consumption, and design a set of mechanisms including scenario-based scheme, self-adaptive mechanism between privacy-preserving schemes and quality of services, and caching-based privacy-preserving schemes with considering multiple factors. Through these ways, we try to achieve the “5D”, which provides different privacy levels for different messages, by using different privacy-preserving schemes, under different requirements of QoS, with different resource consumption. The products of his project will enrich the general meaning of the privacy preservation in LBSs, and provide useful study on leading the theoretical research to the reality.

信息服务的发展已经广泛渗透到人们生活的各个方面，以位置服务为典型代表的新型服务模式及应用给人们带来便利的同时无形中泄漏隐私信息，且应用软件的激增和用户需求的多样化给隐私泄漏提出更大挑战。为此，全面分析并抽象位置服务中的广义背景信息、服务质量和资源消耗之间的内在联系，重点研究广义背景信息关联的新型隐私保护方法、隐私保护与服务质量的自适应调节、隐私保护中的资源消耗优化三个科学问题，突破基于空间填充的个性化空间匿名、基于历史信息的自适应方法、基于信息复用的多因素均衡隐私保护机制等关键技术，为位置服务中的隐私保护实现“五个不同”：针对不同的服务质量需求，以不同的资源消耗代价，对不同的隐私信息采用不同的保护方案，实现不同的隐私保护效果。项目研究成果将丰富位置服务中隐私保护的内涵，并在位置服务中将场景关联、服务质量自适应及资源消耗等方面对隐私保护的影响进行有益探索。

本项目从位置服务中的用户个性化的隐私保护需求入手，全面分析并抽象位置服务中的广义背景信息、服务质量和资源消耗之间的内在联系，重点研究了广义背景信息关联的新型隐私保护方法、隐私保护与服务质量的自适应调节、隐私保护中的资源消耗优化三个科学问题，突破了基于空间填充的个性化空间匿名、基于历史信息的自适应方法、基于信息复用的多因素均衡隐私保护机制等关键技术，一定程度上实现了隐私保护的“五个不同”：针对不同的服务质量需求，以不同的资源消耗代价，对不同的隐私信息采用不同的保护方案，实现了不同的隐私保护效果。项目组执行期间发表和录用了15篇论文，其中大部分发表在国际著名的学术期刊或重要的国际会议上，被 SCI 检索和待检索论文3篇，EI 检索论文14篇，同时申请专利2项。

内容获取失败，请点击重试