标题:
位置隐私保护技术研究综述A Survey on Location Privacy Preserving Techniques
作者:
卢小丹, 张乐峰, 熊平
关键字:
基于位置的服务, 位置隐私, 隐私保护, 差分隐私Location-Based Services, Location Privacy, Privacy Preserving, Differential Privacy
期刊名称:
《Computer Science and Application》, Vol.6 No.6, 2016-06-28
摘要:
随着位置信息服务的日益普及，位置信息中包含的个人隐私信息逐渐受到了人们的广泛关注。学术界近年来对位置隐私保护问题进行了深入研究并提出了一系列实现技术。本文对位置隐私保护技术的研究进展进行综述。首先介绍基于位置的服务系统的基本框架及其面临的风险，然后将位置隐私保护技术划分为四类，包括空间模糊化、虚拟对象技术、隐私信息检索和差分隐私保护技术，详细讨论它们的基本原理及有代表性的实现方法，并在此基础上进行性能上的分析和比较。最后归纳总结位置隐私保护进一步的研究方向。
While location-based services (LBSs) have become increasingly popular and provided enormous benefits in daily life, location privacy of individuals has been confronted with serious concerns. To address the issue, a number of location privacy preserving techniques have been proposed during the last decade. This paper surveys the state of the art of location privacy preserving techniques. Firstly, we introduce the general framework of LBS system as well as the potential threats to LBS user. Then we group the location privacy preserving techniques into four categories including space cloaking, dummy-based method, private information retrieval, and differential privacy- based method. The general principle and representative techniques of each category are discussed in detail respectively and a comparison of the techniques is presented. Finally, we summarize some new research directions and make a conclusion.