信息网络安全 ›› 2024, Vol. 24 ›› Issue (2): 229-238.doi: 10.3969/j.issn.1671-1122.2024.02.006

• 理论研究 • 上一篇    下一篇

基于混合区块链的位置隐私保护方案

何业锋, 权家辉(), 刘妍   

  1. 西安邮电大学网络空间安全学院,西安 710121
  • 收稿日期:2023-06-12 出版日期:2024-02-10 发布日期:2024-03-06
  • 通讯作者: 权家辉 E-mail:yubeilengzhi@163.com
  • 作者简介:何业锋(1978—),女,陕西,教授,博士,主要研究方向为车联网安全和量子密码协议|权家辉(1999—),男,陕西,硕士研究生,主要研究方向为车联网位置隐私|刘妍(1998—),女,陕西,硕士研究生,主要研究方向为车联网位置隐私
  • 基金资助:
    国家自然科学基金(61802302);陕西省自然科学基础研究计划(2021JM-462)

A Location Privacy Protection Scheme Based on Hybrid Blockchain

HE Yefeng, QUAN Jiahui(), LIU Yan   

  1. School of Cyberspace Security, Xi’an University of Posts and Telecommunications, Xi’an 710121, China
  • Received:2023-06-12 Online:2024-02-10 Published:2024-03-06
  • Contact: QUAN Jiahui E-mail:yubeilengzhi@163.com

摘要:

在车联网位置隐私服务中,主流模型需要通过可信第三方进行通信,但该类模型的第三方服务器容易受到恶意用户的攻击,存在隐私泄露的风险。文章基于混合区块链提出一种位置隐私保护方案。该方案根据经纬度在地图上划分出可用位置点,等待用户结合K匿名技术选择位置点代表其真实位置完成匿名预处理,随后参与混合区块链的位置隐私保护服务。在位置隐私服务整个过程中,文章采用用户信用机制和混合区块链信息隔离机制,进一步加强用户位置隐私保护水平。仿真结果表明,与现有方案相比,文章所提方案降低了时间开销。

关键词: 位置隐私, 混合区块链, K匿名, 信用机制, 信息隔离

Abstract:

In the location privacy service of the Internet of Vehicles, mainstream models require communication through a trusted third party, but such models’ third-party servers are vulnerable to attacks by malicious users, which poses a risk of privacy leakage. Based on a hybrid blockchain, this paper proposed a new location privacy protection scheme. The scheme divided available location points on the map using longitude and latitude, and waited for users to select location points to represent their true location using K-anonymity technology to complete preliminary anonymity, and then participated in the location privacy protection service of the hybrid blockchain. Throughout the entire process of the location privacy service, user credit mechanisms and hybrid blockchain information isolation mechanisms were used to further enhance the user’s location privacy protection level. Simulation results show that compared to existing schemes, this scheme can shorten time costs.

Key words: location privacy, hybrid blockchain, K-anonymity, credit mechanism, information isolation

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