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dc.contributor.authorCarela Español, Valentín
dc.contributor.authorBarlet Ros, Pere
dc.contributor.authorBifet Figuerol, Albert Carles
dc.contributor.authorFukuda, Kensuke
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2016-10-13T08:42:44Z
dc.date.available2016-11-19T01:30:32Z
dc.date.issued2016-10
dc.identifier.citationCarela, V., Barlet, P., Bifet, A.C., Fukuda, K. A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic. "Telecommunication systems", Octubre 2016, vol. 63, núm. 2, p. 191-204.
dc.identifier.issn1018-4864
dc.identifier.urihttp://hdl.handle.net/2117/90717
dc.description.abstractThe continuous evolution of Internet traffic and its applications makes the classification of network traffic a topic far from being completely solved. An essential problem in this field is that most of proposed techniques in the literature are based on a static view of the network traffic (i.e., they build a model or a set of patterns from a static, invariable dataset). However, very little work has addressed the practical limitations that arise when facing a more realistic scenario with an infinite, continuously evolving stream of network traffic flows. In this paper, we propose a streaming flow-based classification solution based on Hoeffding Adaptive Tree, a machine learning technique specifically designed for evolving data streams. The main novelty of our proposal is that it is able to automatically adapt to the continuous evolution of the network traffic without storing any traffic data. We apply our solution to a 12 + 1 year-long dataset from a transit link in Japan, and show that it can sustain a very high accuracy over the years, with significantly less cost and complexity than existing alternatives based on static learning algorithms, such as C4.5.
dc.format.extent14 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshMachine learning
dc.subject.lcshTelecommunication -- Traffic -- Management
dc.subject.otherHoeffding adaptive tree
dc.subject.otherNetwork monitoring
dc.subject.otherStream classification
dc.subject.otherTraffic classification
dc.titleA streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic
dc.typeArticle
dc.subject.lemacAprenentatge automàtic
dc.subject.lemacTelecomunicació -- Tràfic -- Gestió
dc.contributor.groupUniversitat Politècnica de Catalunya. CBA - Sistemes de Comunicacions i Arquitectures de Banda Ampla
dc.identifier.doi10.1007/s11235-015-0114-6
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/article/10.1007%2Fs11235-015-0114-6
dc.rights.accessOpen Access
local.identifier.drac17429506
dc.description.versionPostprint (author's final draft)
local.citation.authorCarela, V.; Barlet, P.; Bifet, A.C.; Fukuda, K.
local.citation.publicationNameTelecommunication systems
local.citation.volume63
local.citation.number2
local.citation.startingPage191
local.citation.endingPage204


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