典型文献
Mean estimation over numeric data with personalized local differential privacy
文献摘要：
The fast development of the Internet and mobile devices results in a crowdsensing business model,where indivi-duals(users)are willing to contribute their data to help the institution(data collector)analyze and release useful informa-tion.However,the reveal of personal data will bring huge privacy threats to users,which will impede the wide application of the crowdsensing model.To settle the problem,the defini-tion of local differential privacy(LDP)is proposed.Afterwar-ds,to respond to the varied privacy preference of users,resear-chers propose a new model,i.e.,personalized local differential privacy(PLDP),which allow users to specify their own privacy parameters.In this paper,we focus on a basic task of calcu-lating the mean value over a single numeric attribute with PLDP.Based on the previous schemes for mean estimation under LDP,we employ PLDP model to design novel schemes(LAP,DCP,PWP)to provide personalized privacy for each user.We then theoretically analysis the worst-case variance of three proposed schemes and conduct experiments on synthetic and real datasets to evaluate the performance of three methods.The theoretical and experimental results show the optimality of PWP in the low privacy regime and a slight advantage of DCP in the high privacy regime.
文献关键词：
中图分类号：
作者姓名：
Qiao XUE;Youwen ZHU;Jian WANG
作者机构：
College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;Guangxi Key Laboratory of Trusted Software,Guilin University of Electronic Technology,Guilin 541004,China;School of Cyber Security,Gansu University of Political Science and Law,Lanzhou 730070,China
文献出处：
引用格式：
[1]Qiao XUE;Youwen ZHU;Jian WANG-.Mean estimation over numeric data with personalized local differential privacy)[J].计算机科学前沿,2022(03):177-186
A类：
crowdsensing,indivi,duals,Afterwar,resear,chers,PLDP
B类：
Mean,estimation,over,numeric,personalized,local,differential,privacy,fast,development,Internet,mobile,devices,results,business,model,where,users,are,willing,contribute,their,help,institution,collector,analyze,release,useful,informa,However,reveal,bring,huge,threats,which,impede,wide,application,To,settle,problem,defini,proposed,respond,varied,preference,new,allow,specify,own,parameters,this,paper,focus,basic,task,calcu,lating,mean,value,single,attribute,Based,previous,schemes,under,employ,design,novel,LAP,DCP,PWP,provide,each,We,then,theoretically,analysis,worst,case,variance,three,conduct,experiments,synthetic,real,datasets,evaluate,performance,methods,experimental,show,optimality,regime,slight,advantage,high
AB值：
0.498897
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