Matches in SemOpenAlex for { <https://semopenalex.org/work/W2917449890> ?p ?o ?g. }
- W2917449890 endingPage "18291" @default.
- W2917449890 startingPage "18271" @default.
- W2917449890 abstract "Due to the popularity of Dynamic Adaptive Streaming Over HTTP (DASH), broadband and Internet service providers’ links transmit mainly multimedia content. As the most popular providers encrypt their video services, the attempts to identify their traffic through Deep Packet Inspection (DPI) encounter difficulties. Therefore, encrypted DASH traffic requires new classification methods. In this work, we propose to identify DASH traffic taking into account statistical dependencies among video flows. For this purpose, we employ cluster analysis which can identify groups of traffic flows that show similarity using only the application level information. In our work, we applied three unsupervised clustering algorithms, namely MinMax K-Means, OPTICS and AutoClass, to classify video traces obtained from an emulated environment. The experimental results show that the employed algorithms are able to effectively distinguish video flows generated by different play-out strategies. The classification performance depends on the network conditions and parameters of the learning process." @default.
- W2917449890 created "2019-03-02" @default.
- W2917449890 creator A5073192023 @default.
- W2917449890 date "2019-01-22" @default.
- W2917449890 modified "2023-09-26" @default.
- W2917449890 title "Identification of adaptive video streams based on traffic correlation" @default.
- W2917449890 cites W140303354 @default.
- W2917449890 cites W1853995153 @default.
- W2917449890 cites W1915916318 @default.
- W2917449890 cites W1964234701 @default.
- W2917449890 cites W1967330816 @default.
- W2917449890 cites W1972191802 @default.
- W2917449890 cites W1997113291 @default.
- W2917449890 cites W1999780609 @default.
- W2917449890 cites W2011628134 @default.
- W2917449890 cites W2017146017 @default.
- W2917449890 cites W2044203091 @default.
- W2917449890 cites W2051000513 @default.
- W2917449890 cites W2062401262 @default.
- W2917449890 cites W2077544013 @default.
- W2917449890 cites W2078220749 @default.
- W2917449890 cites W2079646068 @default.
- W2917449890 cites W2086288008 @default.
- W2917449890 cites W2096118443 @default.
- W2917449890 cites W2120948237 @default.
- W2917449890 cites W2121973001 @default.
- W2917449890 cites W2127034683 @default.
- W2917449890 cites W2138144286 @default.
- W2917449890 cites W2143243740 @default.
- W2917449890 cites W2148913232 @default.
- W2917449890 cites W2150453038 @default.
- W2917449890 cites W2154541283 @default.
- W2917449890 cites W2157895134 @default.
- W2917449890 cites W2160642098 @default.
- W2917449890 cites W2161251616 @default.
- W2917449890 cites W2170916850 @default.
- W2917449890 cites W2171098181 @default.
- W2917449890 cites W2179036394 @default.
- W2917449890 cites W2190207511 @default.
- W2917449890 cites W2563451899 @default.
- W2917449890 cites W2613715541 @default.
- W2917449890 cites W3123402595 @default.
- W2917449890 doi "https://doi.org/10.1007/s11042-019-7183-6" @default.
- W2917449890 hasPublicationYear "2019" @default.
- W2917449890 type Work @default.
- W2917449890 sameAs 2917449890 @default.
- W2917449890 citedByCount "5" @default.
- W2917449890 countsByYear W29174498902020 @default.
- W2917449890 countsByYear W29174498902021 @default.
- W2917449890 countsByYear W29174498902022 @default.
- W2917449890 countsByYear W29174498902023 @default.
- W2917449890 crossrefType "journal-article" @default.
- W2917449890 hasAuthorship W2917449890A5073192023 @default.
- W2917449890 hasBestOaLocation W29174498901 @default.
- W2917449890 hasConcept C110875604 @default.
- W2917449890 hasConcept C111919701 @default.
- W2917449890 hasConcept C116537 @default.
- W2917449890 hasConcept C116834253 @default.
- W2917449890 hasConcept C119857082 @default.
- W2917449890 hasConcept C124101348 @default.
- W2917449890 hasConcept C136264566 @default.
- W2917449890 hasConcept C136764020 @default.
- W2917449890 hasConcept C148730421 @default.
- W2917449890 hasConcept C158379750 @default.
- W2917449890 hasConcept C162324750 @default.
- W2917449890 hasConcept C172191483 @default.
- W2917449890 hasConcept C2776090536 @default.
- W2917449890 hasConcept C2777588599 @default.
- W2917449890 hasConcept C2779333187 @default.
- W2917449890 hasConcept C2780378061 @default.
- W2917449890 hasConcept C31258907 @default.
- W2917449890 hasConcept C41008148 @default.
- W2917449890 hasConcept C5119721 @default.
- W2917449890 hasConcept C59822182 @default.
- W2917449890 hasConcept C63969886 @default.
- W2917449890 hasConcept C73555534 @default.
- W2917449890 hasConcept C79403827 @default.
- W2917449890 hasConcept C86803240 @default.
- W2917449890 hasConceptScore W2917449890C110875604 @default.
- W2917449890 hasConceptScore W2917449890C111919701 @default.
- W2917449890 hasConceptScore W2917449890C116537 @default.
- W2917449890 hasConceptScore W2917449890C116834253 @default.
- W2917449890 hasConceptScore W2917449890C119857082 @default.
- W2917449890 hasConceptScore W2917449890C124101348 @default.
- W2917449890 hasConceptScore W2917449890C136264566 @default.
- W2917449890 hasConceptScore W2917449890C136764020 @default.
- W2917449890 hasConceptScore W2917449890C148730421 @default.
- W2917449890 hasConceptScore W2917449890C158379750 @default.
- W2917449890 hasConceptScore W2917449890C162324750 @default.
- W2917449890 hasConceptScore W2917449890C172191483 @default.
- W2917449890 hasConceptScore W2917449890C2776090536 @default.
- W2917449890 hasConceptScore W2917449890C2777588599 @default.
- W2917449890 hasConceptScore W2917449890C2779333187 @default.
- W2917449890 hasConceptScore W2917449890C2780378061 @default.
- W2917449890 hasConceptScore W2917449890C31258907 @default.
- W2917449890 hasConceptScore W2917449890C41008148 @default.
- W2917449890 hasConceptScore W2917449890C5119721 @default.
- W2917449890 hasConceptScore W2917449890C59822182 @default.