174 0

Full metadata record

DC FieldValueLanguage
dc.contributor.author원영준-
dc.date.accessioned2018-07-25T06:19:16Z-
dc.date.available2018-07-25T06:19:16Z-
dc.date.issued2011-07-
dc.identifier.citationIEEE COMMUNICATIONS MAGAZINE,권: 49 호: 7 페이지: 104-111en_US
dc.identifier.issn0163-6804-
dc.identifier.issn1558-1896-
dc.identifier.urihttp://ieeexplore.ieee.org/document/5936162/-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/72907-
dc.description.abstractA decade of research on traffic classification has provided various methodologies to investigate the traffic composition in data communication networks. Many variants or combinations of such methodologies have been introduced continuously to improve the classification accuracy and efficiency. However, the level of classification details is often bounded to identifying protocols or applications in use. In this article, we propose a fine-grained traffic classification scheme based on the analysis of existing classification methodologies. This scheme allows to classify traffic according to the functionalities in an application. In particular, we present a traffic classifier which utilizes a document retrieval technique and applies multiple signatures to detect the peer-to-peer application traffic according to different functionalities in it. We show that the proposed scheme can provide more in-depth classification results for analyzing user contexts.en_US
dc.description.sponsorshipThis research was supported by the World Class University (WCU) program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology (R31-2010-000-10100-0) and the Korea Communications Commission (KCC) under the Novel Study on Highly Manageable Network and Service Architecture for the New Generation support program supervised by the Korea Communications Agency (KCA; KCA-2011-10921-05003).en_US
dc.language.isoenen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USAen_US
dc.titleToward Fine-Grained Traffic Classificationen_US
dc.typeArticleen_US
dc.relation.no7-
dc.relation.volume49-
dc.identifier.doi10.1109/MCOM.2011.5936162-
dc.relation.page104-111-
dc.relation.journalIEEE COMMUNICATIONS MAGAZINE-
dc.contributor.googleauthorPark, Byungchul-
dc.contributor.googleauthorHong, James Won-Ki-
dc.contributor.googleauthorWon, Young J.-
dc.relation.code2011203815-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF INFORMATION SYSTEMS-
dc.identifier.pidyoungjoon-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE