This page collects the open datasets and code used in the papers: L. Vassio, D. Giordano, M. Trevisan, M. Mellia, A.P.C. da Silva. Users’ Fingerprinting Techniques from TCP Traffic. ACM SIGCOMM Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, Los Angeles, USA, pp. 49-54, 2017. DOI: […]
Open Datasets & Libraries
25 posts
Introduction ODySSEUS is a data management and simulation software for mobility data, focused mostly on shared fleets in urban environments. Its goal is to provide a general, easy-to-use framework to simulate shared mobility scenarios across different cities using real-world data. Internally, it makes use of several open-source Python libraries such […]
This webpage contains additional material of the paper: “Real-Time Classification of Real-Time Communications“ (currently under revision) Year: 2021 Authors: Gianluca Perna, Dena Markudova, Martino Trevisan, Michela Meo, Paolo Garza, Maurizio Munafò, Giovanna Carofiglio The data You can find the dataset and the classifiers on this link: Data and classifiers The […]
This repository contains data and information regarding the paper: Stefano Berrone and Francesco Della Santa, “Performance Analysis of Multi-Task Deep Learning Models for Flux Regression in Discrete Fracture Networks” (to appear on the special issue “Quantitative Fractured Rock Hydrology” of Geosciences, ISSN 2076-3263). Summary: Analysis of underground flows in fractured […]
By: Tommaso Rescio, Thomas Favale, Francesca Soro, Idilio Drago and Marco Mellia Having a clear insight on the protocols carryingtraffic is crucial for network security. Deep Packet Inspection (DPI) has been a key technique to provide visibility into traffic. DPI has proven effective in various scenarios, and indeed several open […]
This repository contains data and information regarding the paper: Anna Maria Mandalari, Andra Lutu, Ana Custura, Ali Safari Khatouni, Özgü Alay, Marcelo Bagnulo, Vaibhav Bajpai, Anna Brunstrom, Jörg Ott, Martino Trevisan, Marco Mellia, Gorry Fairhurst. “Measuring Roaming in Europe: Infrastructure and Implications on Users’ QoE“. Currently under revision Summary “Roam […]
This repository contains data and information regarding for the paper M. Trevisan, L. Vassio, D. Giordano. Debate on online social networks at the time of COVID-19: An Italian case study. Online Social Networks and Media, Elsevier, 23, 100136, 2021. DOI: 10.1016/j.osnem.2021.100136 Other than a heavy impact on healthcare, the COVID-19 […]
In this page we provide the results of the simulations and the script to replicate the figures of the papers: M. Barulli, A. Ciociola, M. Cocca, L. Vassio, D. Giordano, M. Mellia. On Scalability of Electric Car Sharing in Smart Cities. In: 2020 IEEE International Smart Cities Conference (ISC2), pp. […]
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 […]
α-MON is a flexible tool for privacy-preserving packet monitoring. It replicates input packet streams to different consumers while anonymizing values according to flexible policies that cover all protocol layers. Beside classic anonymization mechanisms such as IP address obfuscation, α-MON supports α-anonymization, a novel solution to obfuscate values that can be […]
This webpage contains additional material of the paper: A comparative study of RTC applications Year: 2020 Authors: Antonio Nisticò, Dena Markudova, Martino Trevisan, Michela Meo Identification of the Applications In the following table we report attributes of the Meeting applications that could be used to identify them: Autonomous System (AS) […]
Unveiling Community Dynamics on Instagram Political Network By: Carlos Henrique Gomes Ferreira, Fabrício Murai, Ana Paula Couto Da Silva, Jussara Marques De Almeida, Martino Trevisan, Luca Vassio, Idilio Drago and Marco Mellia ABSTRACTOnline Social Networks (OSNs) allow users to generate and consume content in an easy and personalized way. Among […]