面向不可信服务器的空间众包隐私保护研究  

Research on Privacy Protection of Spatial Crowdsourcing of Untrusted Servers

作　　者：陈啟菘 崔宗敏[1] 王立华 CHEN Qisong;CUI Zongmin;WANG Lihua(School of Computer and Big Data Science,Jiujiang University,Jiujiang,China,332005)

机构地区：[1]九江学院计算机与大数据科学学院,江西九江332005

出　　处：《福建电脑》2021年第1期13-16,共4页Journal of Fujian Computer

基　　金：江西省教育厅科学技术研究课题和重点项目“大数据环境下基于频率计算的发布/订阅方法研究”(No.GJJ190899)资助。

摘　　要：随着互联网技术的迅速发展以及智能移动设备的普遍使用,空间众包的使用愈加广泛。用户发布空间任务,空间众包平台将会雇佣工作者为其分配任务并执行。该类方法需要通过智能设备获取用户位置数据和工作者位置数据,容易泄露位置隐私,严重威胁了用户和工作者的隐私安全。针对个人位置隐私泄露的问题,本文提出了一种采用地理不可区分性对不可信服务器空间众包的位置数据进行扰动的方法。向用户的真实位置和工作者的真实位置添加可控的随机噪声,得到扰动位置,并计算两者的可达性。该方法向二者的真实位置添加噪声生成扰动位置,能有效保护位置隐私,具有很强的隐私保护强度,隐私程度增大。With the rapid development of Internet technology and the intelligent mobile devices,the spatial crowdsourcing is more widely used.The space crowdsourcing platform will employ workers to assign the tasks published by users and perform them.The method needs to obtain the location data of users and workers through smart devices,which is easy to reveal the location privacy and seriously threaten the privacy security of them.This paper proposes a method of using geographical indiscriminability to disturb the location data of untrusted server space crowdsourcing,which can solve the problem of personal location privacy disclosure.By adding controllable random noise to the real position of the user and the real position of the worke,the disturbance position is obtained,and the accessibility of the two can be calculated.Our method can effectively protect the position privacy by adding noise to the real position of the two,so It has a high degree of privacy protection.

关 键 词：空间众包 差分隐私 地理不可区分性 位置扰动 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]