基于路径混淆的实时轨迹隐私保护方法  

Real-Time Trajectory Privacy Protection Method Based on Path Obfuscation

作　　者：李凤云 郭昊 毕远国 李亦宁 LI Fengyun;GUO Hao;BI Yuanguo;LI Yining(School of Computer Science and Engineering,Northeastern University,Shenyang 110169,China;Beijing Key Laboratory of Internet Culture and Digital Dissemination Research,Beijing 110101,China;Faculty of Science,University of Manitoba,Winnipeg MB R3T 2N2,Canada)

机构地区：[1]东北大学计算机科学与工程学院,沈阳110169 [2]网络文化与数字传播北京市重点实验室,北京110101 [3]曼尼托巴大学科学学院,加拿大曼尼托巴温尼伯MBR3T 2N2

出　　处：《计算机工程与应用》2024年第2期288-294,共7页Computer Engineering and Applications

基　　金：网络文化与数字传播北京市重点实验室开放课题(2021021900051);国家重点研发计划(2022YFE0114200);国家自然科学基金辽宁联合基金(U1808207);教育部中央高校基本科研业务费(N2224001-7)。

摘　　要：由于传统的轨迹隐私保护算法在处理实时问题时的局限性,针对实时轨迹的隐私保护处理提出了基于路径混淆的轨迹隐私保护算法。该算法能够解决传统路径混淆算法中出现的轨迹数据不足和轨迹数据可用性的问题。利用车辆自适应时间窗口算法对车辆轨迹进行分组选择,通过混淆算法提高轨迹的隐私保护效果,在混淆过程中目标车辆与周围车辆形成混淆组从而达到多轨迹的真假混淆情况。通过对比实验分析了轨迹数据的可用性,验证所提出算法比其他传统方法在车辆隐私保护方面效果更好,且混淆后轨迹数据可用性更高。Due to the limitations of traditional trajectory privacy protection algorithms in dealing with real-time problems,a trajectory privacy protection algorithm based on path confusion is proposed for the privacy protection processing of real-time trajectories.The algorithm can solve the problems of insufficient trajectory data or availability of trajectory data in traditional path confusion algorithms.The vehicle trajectories are grouped and selected by the vehicle adaptive time win-dow algorithm,and the privacy protection effect of the trajectories is improved through the obfuscation algorithm.Com-paring the availability of trajectory data in experiments,it is verified that the proposed algorithm is more effective in pro-tecting vehicle privacy than other traditional methods,and the obfuscated trajectory data is more available.

关 键 词：轨迹隐私保护 路径混淆 差分隐私 区域划分 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]