TFR-resm:一种基于可变区域相似点的新型轨迹隐私保护方法  

TFR-RESM:A NEW TRAJECTORY PRIVACY PROTECTION METHOD BASED ON VARIABLE REGION SIMILARITY POINTS

作　　者：任仲昊 耿雪冬 刘浩然 Ren Zhonghao;Geng Xuedong;Liu Haoran(College of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,Shandong,China)

机构地区：[1]山东科技大学计算机科学与工程学院,山东青岛266590

出　　处：《计算机应用与软件》2021年第12期341-349,共9页Computer Applications and Software

摘　　要：随着智能设备的不断普及,用户的隐私泄露问题日益频发,针对动态用户信息泄露问题,提出一种新的轨迹隐私保护方法TFR-resm,该方法主要是依靠寻找相似用户,提出使用波动距离与波动角度的方法生成相似位置点代替真实用户发送消息,并且通过提出的SMTA方法构建混合轨迹,由于该轨迹中不存在信息请求用户,达到了预期的隐私保护结果。通过使用真实数据对TFR-resm方法实现,证明提出的方法对轨迹隐私保护匿名度平均提高了5%,最高为15%。With the increasing popularity of smart devices,users privacy leakage is becoming more frequent.For the problem of dynamic user information leakage,a new trajectory privacy protection method TFR-resm is proposed.This method mainly relied on finding similar users.The usage fluctuation distance and volatility method is proposed to generate a similar location point instead of the real user to send the message,and constructed the hybrid trajectory by the proposed SMTA method.Since there is no information requesting user in the trajectory,the expected privacy protection result is achieved.By using the real data to implement the TFR-resm method,it is proved that the proposed method increases the anonymity of the trajectory privacy protection by an average of 5%and the highest by 15%.

关 键 词：轨迹隐私 相似用户 波动距离 波动角度 混合轨迹 泄露概率 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]