群智感知的隐私保护研究综述

Review of Privacy-preserving Mechanisms in Crowdsensing

近年来,智能终端的快速普及极大地推动了集数据采集、分析、处理于一体的群智感知服务的发展。隐私保护作为保障服务安全运行和鼓励感知用户参与的必要手段,成为需要解决的首要科学问题。文中首先从群智感知的全生命周期出发,在描述其主要组成部分和业务流程之后,再从群智感知场景对隐私保护的特有需求出发,对隐私保护的定义和衡量指标进行讨论,并对现有文献设计的隐私保护机制所侧重的不同阶段进行分类,从隐私保护范围、保护强度、感知用户身份可追溯、感知数据损失和感知终端能耗的角度对文献使用的隐私保护机制进行讨论。在此基础上对文献使用的实验数据集进行梳理,最后结合群智感知应用的发展需求和全球对隐私保护的监管要求提出未来研究面临的挑战。

In recent years,the rapid popularity of intelligent terminals has greatly promoted the development of crowdsensing service paradigm,which integrates data collection,analysis and processing.As a necessary base to ensure the safe operation of services and encourage the participation of sensing users,privacy-preserving has become the primary issue to be solved.This paper presents the state-of-the-art in privacy-preserving mechanisms for crowdsensing service.After describing its main components,this paper discusses the definition and metrics of privacy-preserving from the view of crowdsensing’s whole life cycle.The privacy-preserving mechanisms designed in literatures are analyzed and discussed according to different stages in crowdsensing’s whole-life-cycle,and the experimental datasets used in literatures are given.Finally,Future research challenges are proposed based on the development of crowdsensing and global regulatory requirements for privacy-preserving.