Towards privacy-preserving user targeting

Abstract

Abstract: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 IXWXUH UHVHDUFK GLUHFWLRQV DUH DOVR LGHQWL¿HG

An Identity-Based Elliptic Curve Cryptography for Mobile Payment Security

“…There will be no two users with same phone number or same IMEI. Therefore, the issue of impersonation is under control [24]. 8.…”

Faster abnormality localization and recognition in a secured video bitstream by implementation of video encryption techniques

“…The limitation of this work is that it is not appropriate for databases that can mislead datasets, which can increase the likelihood of making incorrect predictions. Another method, Scalable Video Coding (SVC) proposed by Yifeng Zheng et al [16]. They primarily described a secure system architecture that merges secure deduplication with current advancements in video coding [17].…”