| 5G环境下移动用户位置隐私保护方法研究 |
| |
| 引用本文： | 姜海洋,曾剑秋,韩可,刘鋆.5G环境下移动用户位置隐私保护方法研究[J].北京理工大学学报,2021,41(1):84-92. |
| |
| 作者姓名： | 姜海洋 曾剑秋 韩可 刘鋆 |
| |
| 作者单位： | 北京邮电大学经济管理学院,北京100876;北京邮电大学电子工程学院,北京100876 |
| |
| 摘 要： | 为解决5G环境下高频次位置服务（location based service，LBS）带来的位置隐私暴露问题，分析了5G环境下移动用户位置隐私泄露风险，梳理了已有隐私保护技术，并对3类常见方法进行分析对比，针对5G环境下位置隐私保护面临的新挑战，提出了一种适合5G环境的隐私保护方法，即融合定位隐私保护方法.该方法通过降维初步处理、融合隐私算法及传输加密方法，在不提升复杂度的情况下，处理了从定位维度选择、定位中间过程乃至传输全链路的风险.仿真分析结果表明，该方法能在混合场景下实现高效的隐私保护，适用于5G超密集高频次位置服务.
|
| 关 键 词： | 5G环境 位置隐私保护 隐私保护算法 |
| 收稿时间： | 2020/9/3 0:00:00 |
Research on Location Privacy Protection Methods for Mobile Users in 5G Environment |
| |
| JIANG Haiyang,ZENG Jianqiu,HAN Ke,LIU Luan.Research on Location Privacy Protection Methods for Mobile Users in 5G Environment[J].Journal of Beijing Institute of Technology(Natural Science Edition),2021,41(1):84-92. |
| |
| Authors: | JIANG Haiyang ZENG Jianqiu HAN Ke LIU Luan |
| |
| Affiliation: | 1. School of Economy Management, Beijing University of Posts and Telecommunications, Beijing 100876, China;2. School of Electronics Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China |
| |
| Abstract: | To solve the location privacy disclosure problem with location based service(LBS)applied frequently in 5G environment, the risks of mobile users'' location privacy disclosure in 5G environment were analyzed, the existing privacy protection technologies were investigated, and three kinds of common privacy protection methods were summarized and compared. A new privacy protection method called fusion location privacy protection method was proposed, aiming at the new challenges of location privacy protection in 5G environment. By the combination of preliminary dimension reduction treatment, location privacy protection algorithm, and transmission encryption method,the method was arranged to reduce the risks during location dimension selecting, positioning and transmitting process without increasing the complexity. Simulation results indicate that the proposed method can perform well in mixed scenarios and be suitable for the dense, high frequency LBS in 5G environment. |
| |
| Keywords: | 5G environment location privacy protection privacy protection algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《北京理工大学学报》浏览原始摘要信息 |
|
点击此处可从《北京理工大学学报》下载全文 |
|
