增强现实中的自适应K值位置隐私保护仿真研究

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (1): 98-103.

• 仿真计算机与仿真软件及仿真试验环境 • 上一篇下一篇

增强现实中的自适应K值位置隐私保护仿真研究

杨洋¹, 王汝传^2,3

1.南京广播电视大学南京城市职业学院信息技术系, 南京市 210002;
2.南京邮电大学计算机学院, 南京市 210003;
3.江苏省无线传感网络高技术研究重点实验室, 南京市 210003

收稿日期:2013-04-18 修回日期:2014-02-19 发布日期:2020-09-02
作者简介:杨洋(1980-),女,江苏南京人,硕士,副教授,研究方向为网格计算、增强现实技术等;王汝传(1943-),男,安徽合肥人,教授,博导,研究方向为计算机软件、计算机网络、信息安全、移动代理和虚拟现实技术等。
基金资助:
‘青蓝工程’资助

Simulation Research of Adaptive K Value Location Privacy Protection in Augmented Reality

Yang Yang¹, Wang Ruchuan^2,3

1. Department of Information Technology, Nanjing City Vocational College, Nanjing Radio and TV University, Nanjing 210002, China;
2. College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
3. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China

Received:2013-04-18 Revised:2014-02-19 Published:2020-09-02

摘要/Abstract

摘要： 无线通信和增强现实技术快速发展的同时,促进了基于位置服务的应用范围扩大,给人们的生活提供了极大的便捷。由于基于位置服务可随时随地可以获取用户的位置信息,用户的位置隐私安全也受到了极大的威胁。如何确保基于位置服务中数据的安全性,成为该项技术推广应用的关键问题。分析了基于位置服务中现有的位置隐私保护方法的优点和缺陷,针对不同的隐私等级提出自适应K 值位置隐私保护方法,该方法联合使用K-匿名法和假名法,由受信任的第三方作为位置隐私保护的架构,而K值根据隐私等级自适应变化,从而有效地保护了用户的位置隐私。

关键词: 基于位置服务, 位置隐私, K-匿名法, 假名法, 受信任的第三方

Abstract: With the development of wireless communication and augmented reality technology, the application of LBS is wide. It provides enormous convenience to people life. It may obtain user location information at anytime and anywhere. So user location privacy safety suffers huge threats. Therefore, data safety is worth paying attention in LBS. The advantages and disadvantages of the existing location privacy protection methods in LBS were analyzed, and adaptive K value location privacy protection method was proposed according to different privacy level. This method used k-anonymity method and pseudonym method hand in hand. It used trusted third party as location privacy protection architecture, and K value changed adaptive according to privacy level. Therefore, this method effectively protected location privacy.

Key words: location based services (LBS), location privacy, k-anonymity method, pseudonym method, trusted third party

中图分类号:

TP391.9

杨洋, 王汝传. 增强现实中的自适应K值位置隐私保护仿真研究[J]. 系统仿真学报, 2015, 27(1): 98-103.

Yang Yang, Wang Ruchuan. Simulation Research of Adaptive K Value Location Privacy Protection in Augmented Reality[J]. Journal of System Simulation, 2015, 27(1): 98-103.

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增强现实中的自适应K值位置隐私保护仿真研究

Simulation Research of Adaptive K Value Location Privacy Protection in Augmented Reality

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