This document describes the work carried out during the internal internship period of the duration of approximately three hundred and twenty hours, by the graduate Maffei Davide at the University of Padua studies. The internship was completed under the supervision of Prof. Alessandro Galeazzi, who acted as proposer, and with the support of Dr. Giacomo Quadrio and Dr. Enrico Bassetti, members of the SPRITZ research group of the Department of Mathematics of the University of Padua. The internship project focuses on analyzing the network traffic that passes through the VSIX hub and on IT security, with particular attention to problems related to the illegal reproduction of streaming content. The goal is to establish practical and theoretical techniques for the analysis of complex datasets, in order to to classify different types of data flows and identify illegal traffic. The project was born from the need to collect information on the functioning of Piracy Shield, as well as on the evaluation of its effectiveness. Through the analysis of network flows, yes wants to be able to distinguish video streams from other types of traffic and identify the differences between ordinary and pirated traffic. The objectives of the project include the acquisition of skills in manipulation of large datasets of network traffic, the design and implementation of a system flow classification, and the identification of legal and illegal traffic using advanced data analysis techniques.
Il presente documento descrive il lavoro svolto durante il periodo di stage interno, della durata di circa trecentoventi ore, dal laureando Maffei Davide presso l’Università degli Studi di Padova. Il tirocinio è stato portato a termine sotto la supervisione del Prof. Alessandro Galeazzi, che ha ricoperto il ruolo di proponente, e con il supporto del Dott. Giacomo Quadrio e del Dott. Enrico Bassetti, membri del gruppo di ricerca SPRITZ del Dipartimento di Matematica dell’Università di Padova. Il progetto di stage si concentra sull’analisi del traffico di rete che transita attraverso lo snodo VSIX e sulla sicurezza informatica, con particolare attenzione a problematiche legate alla riproduzione illegale di contenuti in streaming. L’obiettivo è quello di stabilire delle tecniche pratiche e teoriche per l’analisi di dataset complessi, al fine di classificare i diversi tipi di flussi di dati e identificare il traffico illegale. Il progetto nasce dall’esigenza di raccogliere informazioni sul funzionamento di Piracy Shield, nonché sulla valutazione della sua efficacia. Attraverso l’analisi dei flussi di rete, si vuole riuscire a distinguere i flussi video dagli altri tipi di traffico e a identificare le differenze tra il traffico ordinario e quello piratato. Gli obiettivi del progetto includono l’acquisizione di competenze nella manipolazione di grandi dataset di traffico di rete, la progettazione e implementazione di un sistema di classificazione dei flussi, e l’identificazione di traffico legale e illegale utilizzando tecniche avanzate di analisi dei dati.
Valutazione dell'Efficacia di Piracy Shield tramite l'Analisi dei Flussi Video e il suo Funzionamento
MAFFEI, DAVIDE
2023/2024
Abstract
This document describes the work carried out during the internal internship period of the duration of approximately three hundred and twenty hours, by the graduate Maffei Davide at the University of Padua studies. The internship was completed under the supervision of Prof. Alessandro Galeazzi, who acted as proposer, and with the support of Dr. Giacomo Quadrio and Dr. Enrico Bassetti, members of the SPRITZ research group of the Department of Mathematics of the University of Padua. The internship project focuses on analyzing the network traffic that passes through the VSIX hub and on IT security, with particular attention to problems related to the illegal reproduction of streaming content. The goal is to establish practical and theoretical techniques for the analysis of complex datasets, in order to to classify different types of data flows and identify illegal traffic. The project was born from the need to collect information on the functioning of Piracy Shield, as well as on the evaluation of its effectiveness. Through the analysis of network flows, yes wants to be able to distinguish video streams from other types of traffic and identify the differences between ordinary and pirated traffic. The objectives of the project include the acquisition of skills in manipulation of large datasets of network traffic, the design and implementation of a system flow classification, and the identification of legal and illegal traffic using advanced data analysis techniques.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/70972