Are Encypted Protocols Really a Guarantee of Privacy?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F21%3A00357613" target="_blank" >RIV/68407700:21240/21:00357613 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.academic-conferences.org/wp-content/uploads/2022/03/000_ECCWS-21-Abstract-Booklet-.pdf" target="_blank" >https://www.academic-conferences.org/wp-content/uploads/2022/03/000_ECCWS-21-Abstract-Booklet-.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Are Encypted Protocols Really a Guarantee of Privacy?

Popis výsledku v původním jazyce

Most internet traffic is being encrypted by application protocols that should guarantee users' privacy and anonymity of data during the transmission. Our team has developed a unique system that can create a specific pattern of traffic and further analyze it by using machine learning methods. We investigated the possibility of identifying the network video streams encrypted within the HTTPS protocol and explored that it is possible to identify a particular content with a certain probability. Our paper provides a methodology and results retrieved from the real measurements. As the testing data set, we used the streams coming from the popular platform Youtube. Our results confirm that it is possible to identify encrypted video streams via their specific traffic imprints, although it should not be possible due to the used encryption.

Název v anglickém jazyce

Are Encypted Protocols Really a Guarantee of Privacy?

Popis výsledku anglicky

Most internet traffic is being encrypted by application protocols that should guarantee users' privacy and anonymity of data during the transmission. Our team has developed a unique system that can create a specific pattern of traffic and further analyze it by using machine learning methods. We investigated the possibility of identifying the network video streams encrypted within the HTTPS protocol and explored that it is possible to identify a particular content with a certain probability. Our paper provides a methodology and results retrieved from the real measurements. As the testing data set, we used the streams coming from the popular platform Youtube. Our results confirm that it is possible to identify encrypted video streams via their specific traffic imprints, although it should not be possible due to the used encryption.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 20th European Conference on Cyber Warfare and Security ECCWS 2021

ISBN

978-1-912764-99-0

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

130-138

Název nakladatele

Academic Conferences International Limited Reading

Místo vydání

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Místo konání akce

University of Chester

Datum konání akce

24. 6. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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