基于利益最大化的位置隐私保护技术研究

Research on Location Privacy Protection Technology based on benefit maximization

基于位置的服务(LBS)改变了日常生活中获取信息的方式。不同类型的LBS,例如定位、导航、兴趣点搜索和社交网络登记,已经成为几乎每个人的智能手机的基本应用。最近值得注意的LBS演变可能会改变LBS和LPPM的整体情况。研究将这种新颖的LBS定义为依赖于设备的基于位置的服务(DLBS)。DLBS扩展了LBS的概念,也影响了现有的通用LPPM的架构和威胁模型。这种变化主要归结为服务提供商获取位置的方式的变化。属于用户和DLBS提供商的这两个基本权利已形成微妙的冲突需要解决。针对这种情况,本文为了克服DLBS中的位置隐私威胁设计了一个DLBS框架。提出了信用系统规则来平衡位置隐私和DLBS可用性,仿真结果验证了的方案的有效性。

Location-based services(LBS)change the way in which information is obtained in everyday life.Different types of LBS,such as location,navigation,point of interest search and social network registration,have become the basic applications for almost everyone’s smartphones.The recent notable LBS evolution may change the overall situation of LBS and LPPM.The paper defines this novel LBS as a device-dependent location-based service(DLBS).DLBS extends the concept of LBS and also affects the architecture and threat models of existing generic LPPMs.This change is mainly due to changes in the way the service provider gets the location.These two fundamental rights belonging to users and DLBS providers have created subtle conflicts that need to be addressed.In response to this situation,this paper designs a DLBS framework to overcome the location privacy threat in DLBS.Credit system rules are proposed to balance location privacy and DLBS availability,and simulation results verify the effectiveness of the scheme.