高效的轨迹隐私保护方案

李凤华; 张翠; 牛犇; 李晖; 华佳烽; 史国振

doi:10.11959/j.issn.1000-436x.2015320

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高效的轨迹隐私保护方案

隐私保护 | 更新时间：2024-06-05

- 高效的轨迹隐私保护方案
- Efficient scheme for user's trajectory privacy
- 通信学报 2015年36卷第12期页码：114-123
- 作者机构：
  
  1. 中国科学院信息工程研究所信息安全国家重点实验室，北京 100195
  2. 西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071
  3. 北京电子科技学院信息安全系，北京 100070
- 作者简介：
  
  [ "李凤华（1966-），男，湖北浠水人，博士，中国科学院信息工程研究所副总工程师、研究员、博士生导师，主要研究方向为网络与系统安全、隐私计算、可信计算。" ]
  [ "张翠（1985-），女，江西抚州人，中国科学院信息工程研究所博士生，主要研究方向为网络安全、隐私保护。" ]
  [ "牛犇（1984-），男，陕西西安人，博士，中国科学院信息工程研究所助理研究员，主要研究方向为网络安全、隐私计算。" ]
  [ "李晖（1968-），男，河南灵宝人，博士，西安电子科技大学教授、博士生导师，主要研究方向为密码学、无线网络安全、云计算安全、信息论与编码理论。" ]
  [ "华佳烽（1989-），男，湖北黄冈人，西安电子科技大学博士生，主要研究方向为医疗隐私。" ]
  [ "史国振（1974-），男，河南济源人，博士，北京电子科技学院副教授，主要研究方向为信息安全。" ]
- 基金信息：
  
  国家自然科学基金-广东联合基金资助项目(U1401251);国家高技术研究发展计划（“863计划）基金资助项目(2012AA013102);教育部重点项目基金资助项目(209156)
- DOI：10.11959/j.issn.1000-436x.2015320
  中图分类号： TN 929.5
- 网络出版日期：2015-12，
  
  纸质出版日期：2015-12-25
- 稿件说明：
移动端阅览
李凤华, 张翠, 牛犇, 等. 高效的轨迹隐私保护方案[J]. 通信学报, 2015,36(12):114-123.

Feng-hua LI, Cui ZHANG, Ben NIU, et al. Efficient scheme for user's trajectory privacy[J]. Journal on communications, 2015, 36(12): 114-123.
李凤华, 张翠, 牛犇, 等. 高效的轨迹隐私保护方案[J]. 通信学报, 2015,36(12):114-123. DOI： 10.11959/j.issn.1000-436x.2015320.

Feng-hua LI, Cui ZHANG, Ben NIU, et al. Efficient scheme for user's trajectory privacy[J]. Journal on communications, 2015, 36(12): 114-123. DOI： 10.11959/j.issn.1000-436x.2015320.

摘要

作为基于位置服务中的一种重要信息，智能终端用户的轨迹隐私保护问题日益受到广大研究者的重视。为解决这一问题，综合考虑了用户所处区域的背景信息、用户行动模式和轨迹相似性等特征，构建了(k−1)条难以被拥有背景信息的敌手所区分的虚假轨迹，从而为移动用户提供k-匿名级别的轨迹隐私保护。相对于现有技术，该方案不依赖于任何可信第三方，能够在保证虚假轨迹与真实轨迹相似性的基础上有效抵御拥有背景信息的敌手的攻击。实验结果表明了方案的有效性和高效性。

Abstract

As one of the most important information in location-based services (LBS)

the trajectory privacy for smart devices users has gained increasingly popularity over recent years.To address this problem

(k−1) dummy trajectories to achieve trajectory k-anonymity with comprehensively considering side information were generated

user's mobility pattern and the trajectory similarity etc.Without relying on the trusted third party

the scheme could provide trajectory k-anonymity against adversaries with side information by generating (k−1) realistic dummy trajectories.The evaluation results indicate its effectiveness and efficiency.

关键词

Keywords

references

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