In order to address privacy concerns, many social media websites allow users to hide their personal profiles from the public. In this work, we show how an adversary can exploit an...
This paper proposes a novel approach to integrate heterogeneous data in P2P networks. The approach includes a tool for building P2P semantic link networks, mechanisms for peer sch...
We present Quanto, a network-wide time and energy profiler for embedded network devices. By combining well-defined interfaces for hardware power states, fast high-resolution energ...
Rodrigo Fonseca, Prabal Dutta, Philip Levis, Ion S...
We propose a novel approach for statistical risk modeling of network attacks that lets an operator perform risk analysis using a data model and an impact model on top of an attack ...
This paper describes the prototype implementation of a pervasive, wearable augmented reality (AR) system based on a full bodymotion-capture system using low-power wireless sensors...
Peter Barrie, Andreas Komninos, Oleksii Mandrychen...