摘要
随着物联网、智能设备和全球定位系统的发展,物联网领域中基于位置的服务越来越丰富,但是隐私泄露对用户造成了严重的威胁.因此,从以下几个方面对物联网环境下位置隐私保护技术进行了研究.提出了r-匿名的概念,预先产生一系列相似的轨迹集S,用来隐藏一个节点真实的轨迹.结合k-匿名与s-道路段保护节点的隐私.最后,引入一种时间混淆技术,从一系列轨迹集S中的位置随机发送查询以混淆基于位置的服务.尽管为了提供一种强大的轨迹隐私保护而进行的混淆处理会有随机性,但是实验结果表明,在有限的计算成本下,它保证了查询结果的正确性.
With the development of Internet of things,intelligent equipment and global positioning system,the location based service became more and more popular in the field of Internet of things,but the privacy disclosure are a serious threat to users.Therefore,this paper studied the location privacy protection method of the Internet of things from the following aspects.Firstly,the concept of r-anonymity was proposed,it generated a series of similar trajectory set S in advance,which was used to hide a node＇s real trajectory.Secondly,this paper combined kanonymity and s-road segment to protect the node＇s privacy.Finally,a new time confusion technique was introduced,which broke the sequence of the query issuing time to confuse the location based service,by sending a query randomly from the trajectory set S.Although the obfuscation process for providing strong trajectory privacy protection incurs randomness,the experimental results show that it can ensure the correctness of the query results in a finite computational cost.
出处
《小型微型计算机系统》
CSCD
北大核心
2017年第9期1961-1965,共5页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(61472451
6127215)资助
关键词
物联网
基于位置的服务
隐私保护
移动查询
轨迹隐私
the internet of things
locationbased services
privacy protection
mobile query
trajectory privacy
