Long-term location privacy protection for location-based services in mobile cloud computing
Long-term location privacy protection for location-based services in mobile cloud computing
复制标题
移动云计算中基于位置的服务的长期位置隐私保护
DOI：
10.1007/s00500-015-1703-8
复制
发表时间：
2016
期刊：
影响因子：
4.1
通讯作者：
Guo Minyi
中科院分区：
文献类型：
--
作者：
Tang Feilong;Li Jie;You Ilsun;Guo Minyi
移动设备特别是智能手机的普及，极大地促进了云系统中各种基于位置的服务（LBS）的发展。这些服务不仅极大地方便了人们的日常生活，也带来了用户位置信息可能被服务提供商滥用或泄露的严重威胁。基于虚拟的隐私保护技术比其他技术具有显着的优势，因为它们既不依赖于可信服务器，也不需要足够数量的可信对等点。然而，现有的基于虚拟的位置隐私保护方案尚无法提供长期的隐私保护。在本文中，我们提出了基于虚拟的长期位置隐私保护（LT-LPP）的四个原则。基于这些原理，我们提出了一套针对 LT-LPP 的长期一致虚拟生成算法。我们的方法建立在软计算技术的基础上，可以平衡首选的隐私保护和计算成本。综合实验结果表明，我们的方法对于移动云中 LBS 的长期隐私保护和虚假路径生成都是有效的。
The popularity of mobile devices, especially intelligent mobile phones, significantly prompt various location-based services (LBSs) in cloud systems. These services not only greatly facilitate people’s daily lives, but also cause serious threats that users’ location information may be misused or leaked by service providers. The dummy-based privacy protection techniques have significant advantages over others because they neither rely on trusted servers nor need adequate number of trustworthy peers. Existing dummy-based location privacy protection schemes, however, cannot yet provide long-term privacy protection. In this paper, we proposefour principlesfor the dummy-based long-term location privacy protection (LT-LPP). Based on the principles, we propose a set of long-term consistent dummy generation algorithms for the LT-LPP. Our approach is built on soft computing techniques and can balance the preferred privacy protection and computing cost. Comprehensive experimental results demonstrate that our approach is effective to both long-term privacy protection and fake path generation for LBSs in mobile clouds.