Characterization and identification of Netflix encrypted traffic
Fecha
2022Autor
Director
Versión
Acceso abierto / Sarbide irekia
Tipo
Trabajo Fin de Grado/Gradu Amaierako Lana
Impacto
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Resumen
Technology evolves quickly, and Netflix has evolved as well since 2017. Microsoft’s Silverlight player
has been replaced by Netflix’s own player, video segments do not last strictly for 4 seconds anymore,
their catalog keeps expanding, and new video codecs and resolutions have come to stay. The techniques
described up to now for identification of Netflix content are now outdated.
In this thes ...
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Technology evolves quickly, and Netflix has evolved as well since 2017. Microsoft’s Silverlight player
has been replaced by Netflix’s own player, video segments do not last strictly for 4 seconds anymore,
their catalog keeps expanding, and new video codecs and resolutions have come to stay. The techniques
described up to now for identification of Netflix content are now outdated.
In this thesis, we are going to demonstrate that the identification of encrypted Netflix videos is still
possible nowadays, and we are going to improve the techniques that our preceding works deployed by:
● Perfecting the accuracy of the calculation of segment sizes.
None of the methods proposed until now was able to calculate the exact size that a captured
segment has. We have implemented a technique which calculates accurately the size of a
downloaded video chunk. As we do not have to tackle the lack of precision anymore, we no
longer have to use sliding windows paradigms to find matches.
● Reducing encrypted video identification from minutes to just a few seconds.
As filling two-minutes sliding windows will no longer be required, the identification process
speeds up immensely. Now, we will be able to capture a few segments within a few seconds to
firmly determine the played Netflix content in an encrypted capture.
● Improving the technique used to download the entirety of Netflix catalog.
A web scraper is used in [2] to determine all movies and TV shows that made up the catalog
back then. We are going to use Netflix’s internal API to retrieve all Netflix content without
parsing any HTML.
● Improving the technique used to retrieve the sizes of the segments of every video in the
catalog. [--]
Titulación
Graduado o Graduada en Ingeniería en Tecnologías de Telecomunicación por la Universidad Pública de Navarra (Programa Internacional) /
Telekomunikazio Teknologien Ingeniaritzako Graduatua Nafarroako Unibertsitate Publikoan (Nazioarteko Programa)