基于移动趋势的轨迹隐私保护研究综述  

Survey on Trajectory Privacy Protection Techniques Based on Moving Trend

作　　者：张璐 ZHANG Lu(College of Computer Science,Qufu Normal University,Rizhao 276826,China)

机构地区：[1]曲阜师范大学计算机学院,山东日照276826

出　　处：《软件导刊》2021年第1期245-248,共4页Software Guide

摘　　要：移动设备的普及为基于位置的服务应用带来新的发展机遇,但在使用LBS时造成的轨迹隐私泄露问题成为LBS普及的隐患。轨迹泛化法是一种轨迹隐私保护技术,在保护轨迹隐私的同时还可提高服务质量。基于组的轨迹隐私保护技术特点,对不考虑移动趋势的轨迹泛化法进行分析,总结基于移动趋势的轨迹隐私保护方法并对未来研究方向进行展望。The popularity of mobile devices has brought new opportunities for the development of location-based service(LBS)appli⁃cations,but the trajectory privacy leakage caused by the use of LBS has become a hidden danger in the popularity of LBS.The trajecto⁃ry generalization method is a trajectory privacy protection technology,which can improve service quality while protecting trajectory pri⁃vacy.Based on the characteristics of the group-based trajectory privacy protection technology,the trajectory generalization method that does not consider the moving trend is analyzed,and the trajectory privacy protection method based on the moving trend is summarized and the future research direction is prospected.

关 键 词：轨迹隐私 连续查询 移动趋势 移动方向 位置预测 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]