摘要
针对基于无线网络(Wi-Fi)指纹定位的室内场景,提出一种基于本地差分隐私(LDP)的用户位置数据隐私保护(LDPP)算法.该算法先依据参考点的信号强度将定位区域划分成多个子区域,再对各子区域进行二元编码,最后通过可保护隐私的有序响应(RAPPOR)算法对用户位置数据进行扰动,使服务平台无法精准获取用户的真实位置信息.RAPPOR算法是通过永久随机响应机制和短暂随机响应机制泛化用户位置数据,从而增强隐私保护力度.实验结果表明,LDPP算法能有效保护用户位置隐私.同时,基于扰动数据能较准确地估计各子区域内用户频次,说明该算法在提供隐私保护的同时,也具有良好的数据效用性.
For indoor scenarios based on Wi-Fi fingerprint positioning,a location data privacy protection(LDPP)algorithm for users based on local differential privacy(LDP)is proposed.The LDPP algorithm first divides the positioning area into multiple sub-areas based on the signal strength of reference points,then performs binary encoding on the sub-areas,and finally uses the randomized aggregatable privacy-preserving ordinal response(RAPPOR)algorithm to perturb the user s location data so that the service platform cannot obtain the user s real location data.The RAPPOR algorithm uses a permanent randomized response mechanism and a temporary randomized response mechanism to generalize the user s location data and enhance privacy protection.The experimental results show that the LDPP algorithm can effectively protect users location privacy.At the same time,the user frequency in each sub-area can be accurately estimated using the perturbed location data,proving that the proposed algorithm has good data utility under the premise of ensuring privacy.
作者
杜明
王树梅
魏冉
Du Ming;Wang Shumei;Wei Ran(School of Computer Science&Technology,Jiangsu Normal University,221116,Jiangsu,China;School of Foreign Studies,Jiangsu Normal University,221116,Jiangsu,China)
出处
《江苏师范大学学报(自然科学版)》
2025年第4期52-58,共7页
Journal of Jiangsu Normal University:Natural Science Edition
基金
教育部人文社会科学研究项目(24YJC740071)
江苏省教育科学规划课题(C/2023/01/24)
江苏师范大学实验室研究课题(L2023YB05)。
