This page describes PREPIPE: PREdictive maintenance PIPEline PREPIPE is an advanced predictive pipeline evaluated in the context of predictive maintenance with an automotive case study. The code is given to support the paper: Danilo Giordano, Flavio Giobergia, Eliana Pastor, Antonio La Macchia,Tania Cerquitelli, Elena Baralis, Marco Mellia, Davide Tricarico, (2020), […]
Open Datasets & Libraries
31 posts
In this page we provide further results 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. 1-8, 2020. DOI: […]
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 […]
Packet measurements at scale are essential for several applications, such as cyber-security, accounting and troubleshooting. They, however, threaten users’ privacy by exposing sensitive information. Anonymization has been the answer to this challenge, i.e., replacing sensitive information with obfuscated copies. Anonymization of packet traces, however, comes with some challenges and drawbacks: […]
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 […]
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 […]
D. Giordano, L. Vassio, L. Cagliero. A multi-faceted characterization of free-floating car sharing service usage, Transportation Research Part C: Emerging Technologies, Elsevier, 125, 102966, 2021. DOI: 10.1016/j.trc.2021.102966 After having witnessed the diffusion of car sharing systems during the lastdecade, the research community has posed a number of relevant questions abouttheir […]
Social networks allow personalities and companies to communicate directly with the public, without the filter of traditional media. People rely on social networks to keep up to date with their hobbies or interest. Recently the political debate has also moved online. Here we present an ongoing study on the interactions […]
This repository contains data and information regarding for the paper M. Trevisan, D. Giordano, I. Drago, M. Mellia, M. Munafò, “Five Years at the Edge: Watching Internet From the ISP Network,” in IEEE/ACM Transactions on Networking, vol. 28, no. 2, pp. 561-574, April 2020, doi: 10.1109/TNET.2020.2967588. A preliminary version of the […]
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 […]