prikaz prve stranice dokumenta Procjena performansi usluge video poziva ostvarenog putem tehnologije WebRTC na osnovu analize kriptiranog prometa uporabom tehnike strojnog učenja
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undergraduate thesis
Procjena performansi usluge video poziva ostvarenog putem tehnologije WebRTC na osnovu analize kriptiranog prometa uporabom tehnike strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:392174
Knežević, Tina
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Knežević, T. (2018). Procjena performansi usluge video poziva ostvarenog putem tehnologije WebRTC na osnovu analize kriptiranog prometa uporabom tehnike strojnog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:392174

Knežević, Tina. "Procjena performansi usluge video poziva ostvarenog putem tehnologije WebRTC na osnovu analize kriptiranog prometa uporabom tehnike strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:392174

Knežević, Tina. "Procjena performansi usluge video poziva ostvarenog putem tehnologije WebRTC na osnovu analize kriptiranog prometa uporabom tehnike strojnog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:392174

Knežević, T. (2018). 'Procjena performansi usluge video poziva ostvarenog putem tehnologije WebRTC na osnovu analize kriptiranog prometa uporabom tehnike strojnog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 08 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:392174

Knežević T. Procjena performansi usluge video poziva ostvarenog putem tehnologije WebRTC na osnovu analize kriptiranog prometa uporabom tehnike strojnog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2025 January 08] Available at: https://urn.nsk.hr/urn:nbn:hr:168:392174

T. Knežević, "Procjena performansi usluge video poziva ostvarenog putem tehnologije WebRTC na osnovu analize kriptiranog prometa uporabom tehnike strojnog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:392174

Metadata
TitleProcjena performansi usluge video poziva ostvarenog putem tehnologije WebRTC na osnovu analize kriptiranog prometa uporabom tehnike strojnog učenja
Title (english)A Machine Learning Approach to Estimating the Performance of a WebRTC-Based Video Call Based on the Analysis of Encrypted Network Traffic
AuthorTina Knežević
MentorLea Skorin-Kapov (mentor)
Committee memberLea Skorin-Kapov (predsjednik povjerenstva)
Committee memberMirko Sužnjević (član povjerenstva)
Committee memberIrena Oršolić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
WebRTC je projekt otvorenog koda kojim je omogućena audiovizualna komunikacija u stvarnome vremenu putem Web preglednika. Specifičnost ove tehnologije je u tome što koristi kriptiranje podataka prilikom komuniciranja između korisnika. U radu je opisana tehnologija WebRTC i protokoli koji osiguravaju enkripciju podataka, iskustvena kvaliteta te metoda strojnog učenja. Istražen je utjecaj parametara video kodiranja na iskustvenu kvalitetu korisnika u slučaju mobilnog višekorisničkog poziva. U sklopu istraživanja provedeno je testiranje na 27 ispitanika te su prikupljeni rezultati. Pomoću dobivenih rezultata i snimljenog prometa napravljena je analiza te su isti korišteni u metodi strojnog učenja. Izvedeni su zaključci o uspješnosti predviđanja kvalitete videa s obzirom na kriptirani mrežni promet.
Abstract (english)
WebRTC is an open source project that provides Web browsers with real-time audiovisual communication. This technology uses encryption of data in communication between users. This thesis describes WebRTC technology and protocols used for data encryption, Quality of Experience, and machine learning. The influence of video coding parameters on experiential quality of users in the case of mobile multi-party video conferencing has been elaborated. A study was conducted with 27 participants and results were analyzed. Obtained results in terms of objective video quality metrics and recorded network traffic were analyzed, and used to train machine learning-based classifers. Conclusions were drawn on the success of video quality prediction based on the analysis of encrypted network traffic.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:392174
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 21:36:25