We make available to the community our categorization scripts (e.g., how categories or sections assigned by editors to articles are grouped together to form broad categories) as well as a sample of 80K categorized articles using this method (dataset Published-articles in our paper). This should give the reader (who masters […]
Open Datasets & Libraries
10 posts
This simulator is a trace-drive simulator which relies on the real data coming from Car2go, a car sharing provider working in 25 cities spread around the world. Please notice that the code is available, but the data is subjected to some restrictions. If you are interested on the data, please […]
The data are available to the community in anonymized form for further investigation at the following link. The dataset has been used for the following paper: Andrea Morichetta, Martino Trevisan, and Luca Vassio. Characterizing web pornography consumption from passive measurements. Passive and Active Measurement Conference (PAM) 2019. Puerto Varas, Chile, March […]
Create publication-quality plots with a simple interface over matplotlib. Are you bored of copying and pasting the code to make a plot every time? Try this! This module provides only one (highly customizable) function to plot some data. It uses matplotlib in its internal, but helps in setting all graphical […]
In this page we show the results of applying LENTA to a HTTPS trace we collected from volunteers. For the details on the methodology – please check the paper Morichetta, Andrea, and Marco Mellia. “LENTA: Longitudinal Exploration for Network Traffic Analysis.” 2018 30th International Teletraffic Congress (ITC 30). Vol. 1. IEEE, […]
This repository contains the data and the information available for the paper Five Years at the Edge: Watching Internet from the ISP Network, by Martino Trevisan, Danilo Giordano, Idilio Drago, Marco Mellia, Maurizio Munafò, ACM CoNEXT 2018, Heraklion, Crete. In the paper, we provide an in-depth longitudinal view of Internet traffic. We […]
This repository contains the source code of the core part of AWESoME (Github). In particular, you can find the source code of the training and the classification modules. Moreover, a sample dataset is provided. It contains the traffic generated by an automatic browser visiting a (quite large) set of popular […]
This page contains the DNS datasets used by REMeDy for automatic identification of DNS manipulations. The source code of REMeDy can be found here. These datasets come from passive measurements and have been collected in real operational networks. They are CSV file, where an entry corresponds to a DNS response. […]
Summary Here you can find scripts and datasets of anonymized clickstreams presented in the following papers: Vassio, L., Drago, I., Mellia, M., Ben-Houidi, Z., and Lamali, M.L.. (2017) “You, the Web and Your Device: Longitudinal Characterization of Browsing Habits”. Under review. Vassio, L., Drago, I., and Mellia, M. (2016) Detecting User Actions from […]
This page collects the open datasets used in the papers: Luca Vassio, Danilo Giordano, Martino Trevisan, Marco Mellia, Ana Paula Couto 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, August 2017 The anonymized visited domains […]