Utility-Improved Key-Value Data Collection with Local Differential Privacy for Mobile Devices
Utility-Improved Key-Value Data Collection with Local Differential Privacy for Mobile Devices作者机构：School of Computer Science and TechnologyXidian UniversityXi'an 710071China
出 版 物：《ZTE Communications》 (中兴通讯技术（英文版）)
年 卷 期：2022年第20卷第4期
页 面：15-21页
学科分类：08[工学] 0839[工学-网络空间安全] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：key-value data local differential privacy mobile devices privacy-preserving data collection
摘 要：The structure of key-value data is a typical data structure generated by mobile *** collection and analysis of the data from mobile devices are critical for service providers to improve service ***,collecting raw data,which may contain various per⁃sonal information,would lead to serious personal privacy *** differential privacy(LDP)has been proposed to protect privacy on the device side so that the server cannot obtain the raw ***,existing mechanisms assume that all keys are equally sensitive,which can⁃not produce high-precision statistical results.A utility-improved data collection framework with LDP for key-value formed mobile data is pro⁃posed to solve this *** specifically,we divide the key-value data into sensitive and non-sensitive parts and only provide an LDPequivalent privacy guarantee for sensitive keys and all *** instantiate our framework by using a utility-improved key value-unary en⁃coding(UKV-UE)mechanism based on unary encoding,with which our framework can work effectively for a large key *** then vali⁃date our mechanism which provides better utility and is suitable for mobile devices by evaluating it in two real ***,some pos⁃sible future research directions are envisioned.
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