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We propose a privacy preserving mobile advertising system for in-app ad placement, that enables user profiling and targeted ads without revealing user interests to the mobile advertising companies. Our proposal relies on device-based user profiles, derived from app activity, on the use of Private Information Retrieval (PIR) to query ads database(s) for matching (to profile) ads, without the database(s)...
The nonuniform sampling in human visual system (HVS) is used in a video compression technique called foveation in which the region of interest (ROI) is given a higher bitrate. This technique can significantly reduce the network traffic or provide higher quality with similar bitrate. ROI or fovea region can be predicted using offline algorithms with a considerable prediction error. In real-time video...
In typical participatory sensing applications, mobile devices record a variety of sensor readings (e.g., sound samples and accelerometer data), which are tagged with spatiotemporal information and uploaded to an application server. The collection of detailed location data reveal insights about the users' whereabouts and daily routines, therefore seriously compromising their privacy. Users can mutually...
The idea of social participatory sensing provides a substrate to benefit from friendship relations in recruiting a critical mass of participants willing to attend in a sensing campaign. However, the selection of suitable participants who are trustable and provide high quality contributions is challenging. In this paper, we propose a recruitment framework for social participatory sensing. Our framework...
Participatory sensing is a revolutionary paradigm in which volunteers collect and share information from their local environment using mobile phones. The design of a successful participatory sensing application is met with two challenges - (1) user privacy and (2) data trustworthiness. Addressing these challenges concurrently is a non-trivial task since they result in conflicting system requirements...
The presence of multimodal sensors on current mobile phones enables a broad range of novel mobile applications including, e.g., monitoring noise pollution or traffic and road conditions in urban environments. Data of unprecedented quantity and quality can be collected and reported by a possible user base of billions of mobile phone subscribers worldwide. The collection of detailed sensor and location...
Adaptive video is a popular technique to continuously deliver a video stream to a user in the best quality possible when the underlying network bandwidth cannot be guaranteed. As such, quality of adaptive video depends critically on the agility of the rate adaptation algorithms in tracking the varying bandwidth. In this paper, we investigate the performance of a popular rate adaptation algorithm,...
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