Towards privacy-preserving user targeting  

作　　者：JIANG Jinghua ZHENG Yifeng SHI Zhenkui YAO Jing WANG Cong GUI Xiaolin 

机构地区：[1]Xi’an Jiaotong University,Xi’an 710049,China [2]City University of Hong Kong,Hong Kong 999077,China [3]City University of Hong Kong Shenzhen Research Institute,Shenzhen 518057,China

出　　处：《Journal of Communications and Information Networks》2016年第4期22-32,共11页通信与信息网络学报（英文）

基　　金：This work is supported by the National Natural Science Foundation of China(Nos.61572412,61472316);the Research Grants Council of Hong Kong(Nos.CityU 138513,CityU 11276816);the Innovation and Technology Commission of Hong Kong under ITF Project(No.ITS/307/15);an AWS Education Research Grant,and the Science and Technology Project of Shaanxi Province(Nos.2016ZDJC-05,2013SZS-16).

摘　　要：User targeting via behavioral analysis is becoming increasingly prevalent in online messaging services.By taking into account users'behavior information such as geographic locations,purchase behaviors,and search histories,vendors can deliver messages to users who are more likely to have a strong preference.For example,advertisers can rely on some ad-network for distributing ads to targeted users.However,collecting such personal information for accurate targeting raises severe privacy concerns.In order to incentivize users to participate in such behavioral targeting systems,addressing the privacy concerns becomes of paramount importance.We provide a survey of privacy-preserving user targeting.We present the architectures of user targeting,the security threats faced by user targeting,and existing approaches to privacy-preserving user targeting.Some future research directions are also identified.

关 键 词：PRIVACY ad-network user targeting ADVERTISING coupon delivery 

分 类 号：TN9[电子电信—信息与通信工程]