The dataset is oriented on encrypted traffic classification problems. The dataset contains three classes of flows: web flows, YouTube flows, and Netflixflows. These classes are chosen because web and video traffic account for 90% of global traffic, while YouTube and Netflix are the largest video services. The structure of the dataset is as follows. It includes 100 download traces of the most popular web pages according to https://httparchive.org, 100 the most popular YouTube videos, and 50 Netflix series and movies.

Dataset Files

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[1] Danil Shamsimukhametov, Mikhail Liubogoshchev, Evgeny Khorov, Ian F. Akyildiz, "YouTube, Netflix, Web dataset for Encrypted Traffic Classification", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/s7x7-wd58. Accessed: Apr. 17, 2024.
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author = {Danil Shamsimukhametov; Mikhail Liubogoshchev; Evgeny Khorov; Ian F. Akyildiz },
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title = {YouTube, Netflix, Web dataset for Encrypted Traffic Classification},
year = {2021} }
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Danil Shamsimukhametov, Mikhail Liubogoshchev, Evgeny Khorov, Ian F. Akyildiz. (2021). YouTube, Netflix, Web dataset for Encrypted Traffic Classification. IEEE Dataport. http://dx.doi.org/10.21227/s7x7-wd58
Danil Shamsimukhametov, Mikhail Liubogoshchev, Evgeny Khorov, Ian F. Akyildiz, 2021. YouTube, Netflix, Web dataset for Encrypted Traffic Classification. Available at: http://dx.doi.org/10.21227/s7x7-wd58.
Danil Shamsimukhametov, Mikhail Liubogoshchev, Evgeny Khorov, Ian F. Akyildiz. (2021). "YouTube, Netflix, Web dataset for Encrypted Traffic Classification." Web.
1. Danil Shamsimukhametov, Mikhail Liubogoshchev, Evgeny Khorov, Ian F. Akyildiz. YouTube, Netflix, Web dataset for Encrypted Traffic Classification [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/s7x7-wd58
Danil Shamsimukhametov, Mikhail Liubogoshchev, Evgeny Khorov, Ian F. Akyildiz. "YouTube, Netflix, Web dataset for Encrypted Traffic Classification." doi: 10.21227/s7x7-wd58