Collecting and analyzing key-value data under shuffled differential privacy  

作　　者：Ning WANG Wei ZHENG Zhigang WANG Zhiqiang WEI Yu GU Peng TANG Ge YU 

机构地区：[1]Faculty of Information Science and Engineering,Ocean University of China,Qingdao 266100,China [2]School of Computer Science and Engineering,Northeastern University,Shenyang 110819,China [3]Key Lab of Cryptologic Technology and Information Security,Ministry of Education,Shandong University,Qingdao 266200,China [4]School of Cyber Science and Technology,Shandong University,Qingdao 266200,China

出　　处：《Frontiers of Computer Science》2023年第2期241-243,共3页中国计算机科学前沿（英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.61902365 and 61902366);Open Project Program from Key Lab of Cryptologic Technology and Information Security,Ministry of Education,Shandong University.

摘　　要：1 Introduction Key-value data,as NoSQL data widely used in recent years,has been frequently collected and used for analysis in major websites and mobile apps.The frequency distribution estimation on the key domain,as well as the mean estimation of values associated with the same key,are crucial and worth billion dollars in the business.However,in real applications,the key-value records are submitted by terminal devices of different users.Directly collecting the information from users may pose serious risks on personal privacy.On the other hand,the emerging shuffled differential privacy(SDP)model[1]is proposed to collect sensitive data from users.

关 键 词：NOSQL APP VALUE 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]