Trajectory privacy protection mechanism of obfuscating paths based on vehicles cooperation

Ziwen ZHAO; Ayong YE; Junlin JIN; Lingyu MENG

doi:10.11959/j.issn.2096-109x.2019038

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Trajectory privacy protection mechanism of obfuscating paths based on vehicles cooperation

Special Column:Researches on Key Technologies of Privacy Protection and Its Innovative Applications | 更新时间：2024-06-03

- Trajectory privacy protection mechanism of obfuscating paths based on vehicles cooperation
- Chinese Journal of Network and Information Security Vol. 5, Issue 4, Pages: 52-62(2019)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2019038
  CLC： TP393
- Online First：2019-08，
  
  Published：15 August 2019
- 稿件说明：
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Ziwen ZHAO, Ayong YE, Junlin JIN, et al. Trajectory privacy protection mechanism of obfuscating paths based on vehicles cooperation[J]. Chinese Journal of Network and Information Security, 2019, 5(4): 52-62.
DOI：

Ziwen ZHAO, Ayong YE, Junlin JIN, et al. Trajectory privacy protection mechanism of obfuscating paths based on vehicles cooperation[J]. Chinese Journal of Network and Information Security, 2019, 5(4): 52-62. DOI： 10.11959/j.issn.2096-109x.2019038.

摘要

在车联网中，车辆通过和第三方共享位置信息获得基于位置的服务，这可能会导致车辆轨迹隐私泄露。针对该问题，提出基于车辆协作的混淆路径轨迹保护机制。首先，车辆轨迹熵达到自定义的轨迹保护阈值后，减少车辆混淆，解决了路径混淆开销大的问题。然后，设计路径混淆算法来增加车辆在路口路径混淆的机会，提高了车辆轨迹保护程度。最后，仿真实验从轨迹熵和轨迹跟踪成功率验证了该方法的有效性和高效性。

Abstract

Vehicles sent location information to third parties to obtain location-based services in the Internet of vehicles

which may lead to vehicle trajectory privacy leakage.To address the privacy problem

trajectory privacy protection mechanism of obfuscating paths based on vehicles cooperation was proposed.Firstly

after the vehicle trajectory entropy reaches the custom trajectory protection threshold

the overhead of paths confusion saves by reducing the number of vehicle paths confusion.Then

paths confusion algorithm was designed to increase chances of vehicle paths confusion at intersections

which can improve the degree of vehicle trajectory protection.Finally

the simulation experiment verified the validity and efficiency of the method from the trajectory entropy and trajectory tracking success rate.

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Keywords

references

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