Increased adoption of smartphones leads to the explosive growth of mobile network traffic. Understanding the traffic characteristics of mobile network is important for Intemet service providers （ISPs） to optimize ne...Increased adoption of smartphones leads to the explosive growth of mobile network traffic. Understanding the traffic characteristics of mobile network is important for Intemet service providers （ISPs） to optimize network resources. In this paper, we conduct a detailed measurement study on the hyper text transfer protocol （HTTP） traffic characteristics of cellular network among different operating systems （OSs） as well as different device-types. Firstly, we propose a probability-based method to identify the installed OS of eacb smartphone. Then we analyze the traffic characteristics of these smartphones in terms of OS and device-type based on a dataset across 31 days （a billing cycle）. Finally, we identify the installed apps of each smartphone and compare the usage of apps on the dimensions of OS and device-type. Our measurement study provides insights for network operators to strategize priciag and resource allocation for their cellular data networks.展开更多
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 h...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.展开更多
文摘Increased adoption of smartphones leads to the explosive growth of mobile network traffic. Understanding the traffic characteristics of mobile network is important for Intemet service providers （ISPs） to optimize network resources. In this paper, we conduct a detailed measurement study on the hyper text transfer protocol （HTTP） traffic characteristics of cellular network among different operating systems （OSs） as well as different device-types. Firstly, we propose a probability-based method to identify the installed OS of eacb smartphone. Then we analyze the traffic characteristics of these smartphones in terms of OS and device-type based on a dataset across 31 days （a billing cycle）. Finally, we identify the installed apps of each smartphone and compare the usage of apps on the dimensions of OS and device-type. Our measurement study provides insights for network operators to strategize priciag and resource allocation for their cellular data networks.
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)+1 种基金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).
文摘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.
