This repository contains data and information regarding the paper: Ali Safari Khatouni and Martino Trevisan and Danilo Giordano and Mohammad Rajiullah and Stefan Alfredsson and Anna Brunstrom and Cise Midoglu and Ozgu Alay, “An Open Dataset of Operational Mobile Networks”, submitted in the 18th ACM International Symposium on Mobility Management […]
MARTINO TREVISAN
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This webpage contains additional material of the paper: Martino Trevisan, Francesca Soro, Marco Mellia, Idilio Drago, and Ricardo Morla. 2020. Does domain name encryption increase users’ privacy? SIGCOMM Comput. Commun. Rev. 50, 3 (July 2020). Available here. Summary Knowing domain names associated with traffic allows eavesdroppers to profile users without […]
ERRANT is an advanced emulator of radio access networks, tuned thanks to a large-scale measurement campaign on operational mobile networks. It uses tc-netem to install traffic shaping policies, allowing the user to choose between 32 profiles that differ for emulated operator, RAT (3G or 4G) and signal quality. The exact parameters of […]
ProfessorsProf. Luca Vassio and Martino Trevisan Period and DurationMay and June 2020 (20 hours) – More details to come LocationTo Be Decided Description In this course, we will explore data analysis and prediction topics using complex network datasets. In particular, our focus will be on temporal and structural data. We will […]