摘要
随着移动通信和位置感知技术的发展,将会在各个领域中产生且搜集到大量移动对象的位置及其运动轨迹数据,对这些数据进行分析和挖掘可以更好地服务于人们的生活。然而,轨迹数据中含有大量的个人隐私,如家庭住址、行为习惯等隐私信息,若不经处理直接将移动对象的位置轨迹数据发布出去,将会泄露移动对象的个人隐私。因此。如何让发布的轨迹数据具有较高利用效率的同时,又能保证轨迹数据隐私的研究受到了人们的关注。文章首先总结当前轨迹隐私保护方法的优缺点,然后分析轨迹数据的分布特征,讨论了未来轨迹数据隐私保护研究的发展。
With the development of mobile communication and location-aware technology,a large number of mobile object locations and their trajectory data will be generated and collected in various fields.Analysis and mining of these data can better serve people's lives.However,the trajectory data contains a large amount of personal privacy,such as home address,behavioral habits and other private information.If the location and trajectory data of the mobile object is directly released without processing,the privacy of the mobile object will be revealed,therefore,how to make the trajectory data has higher utilization efficiency and ensure the privacy of trajectory data has attracted people's attention.This paper first summarizes the advantages and disadvantages of current trajectory privacy protection methods,and then analyzes the distribution characteristics of trajectory data,we discuss the development of future trajectory data privacy protection research.
作者
顾贞
马春光
宋蕾
李菊雁
Gu Zhen;Ma Chunguang;Song Lei;Li Juyan(School of Computer Science and Technology,Harbin Engineering University,Harbin Heilongjiang 150001;The Department of Basic Education,East University of Heilongjiang,Harbin Heilongjiang 150066;School of Data Science and Technology,Heilongjiang University,Harbin Heilongjiang 150080)
出处
《网络空间安全》
2019年第11期32-40,共9页
Cyberspace Security
基金
国家自然科学基金(项目编号:61472097)
国家自然科学基金(项目编号:61932005)
黑龙江省自然科学基金(项目编号JJ2019LH1770)
关键词
轨迹数据
隐私保护
聚类
混合模型
频繁模式
trajectory data
privacy protection
clustering
mixed model
frequent pattern
