Multi-Dimensional Trajectory Anonymity in Collecting Personal Mobility Data

WANG Li-na; PENG Rui-qing; ZHAO Yu-chen; CHEN Dong

doi:10.3969/j.issn.0372-2112.2013.08.032

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Multi-Dimensional Trajectory Anonymity in Collecting Personal Mobility Data

更新时间：2025-07-16

- Multi-Dimensional Trajectory Anonymity in Collecting Personal Mobility Data
- Acta Electronica Sinica Vol. 41, Issue 8, Pages: 1653-1659(2013)
- 作者机构：
  
  1. 空天信息安全与可信计算教育部重点实验室,湖北,武汉,430072
  2. 武汉大学计算机学院,湖北,武汉,430072
  3. 空天信息安全与可信计算教育部重点实验室,湖北,武汉,430072
  4. 武汉大学计算机学院,湖北,武汉,430072
- 作者简介：
- 基金信息：
  
  Ph.D. Programs Foundation of Ministry of Education of China Priority Development Fields (No.20110121130006);National Natural Science Foundation of China (No.60970114, No.61103219, No.41104010);Fundamental Research Funds for the Central Universities (No.2011211020002)
- DOI：10.3969/j.issn.0372-2112.2013.08.032
  CLC： TP393.0
- Published：2013
- 稿件说明：
移动端阅览
WANG Li-na, PENG Rui-qing, ZHAO Yu-chen, et al. Multi-Dimensional Trajectory Anonymity in Collecting Personal Mobility Data[J]. Acta Electronica Sinica, 2013, 41(8): 1653-1659.
DOI：

WANG Li-na, PENG Rui-qing, ZHAO Yu-chen, et al. Multi-Dimensional Trajectory Anonymity in Collecting Personal Mobility Data[J]. Acta Electronica Sinica, 2013, 41(8): 1653-1659. DOI： 10.3969/j.issn.0372-2112.2013.08.032.

摘要

在情景感知位置服务中

移动互联网络的开放性使得个人移动数据面临巨大的安全风险

移动数据的时空关联特性对个人数据的隐私保护提出重大挑战.针对基于时空关联的背景知识攻击

本文提出了一种多维的轨迹匿名隐私保护方法.该方法在匿名轨迹数据收集系统的基础上

基于多用户协作的隐私保护模式

通过时间匿名和空间匿名算法

实现用户的隐私保护.实验结果表明

该方法可以有效的对抗基于位置和移动方式的背景知识攻击

满足了

-匿名的隐私保护要求.

Abstract

In the Context-Aware location services

the opening characteristic of the mobile network brings some security risks for personal mobility data.The spatial-temporal correlation of the mobility data is a great challenge for protecting privacy of the users.To solve the background knowledge attack based on the spatial-temporal correlation

we proposed a privacy protection method based on multi-dimensional trajectory anonymity in this paper.This method is built on the anonymous trajectory data collection system and achieves the protection of user privacy through spatial-temporal anonymity algorithm based on the multi-user collaboration privacy protection mode.The experimental results demonstrated that this method can prevent the background knowledge attack based on the position and moving mode

effectively and meets the demands of the privacy protect of

-Anonymity.

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