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Classifying internet applications on early stage in 3G environment
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Quan, Taizhong | - |
| dc.contributor.author | Lee, Seongjin | - |
| dc.contributor.author | Won, Youjip | - |
| dc.date.accessioned | 2024-12-03T04:30:50Z | - |
| dc.date.available | 2024-12-03T04:30:50Z | - |
| dc.date.issued | 2009-11 | - |
| dc.identifier.issn | 2374-0272 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/73972 | - |
| dc.description.abstract | Application identification plays a crucial role in network management. Among many different approaches introduced in the field, Bernaille et al. [1] introduces connection based clustering to identify applications. In this paper, first four packet sizes with directions are used as a feature set to cluster different applications in wireless environment, which is acclaimed to cluster with 93.7% of accuracy in [1]. However, our experiments not only show that it has low identification accuracy (89.3%), but also show clustering is not suitable for identification of wireless applications. | - |
| dc.format.extent | 5 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | IEEE | - |
| dc.title | Classifying internet applications on early stage in 3G environment | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1109/ICNIDC.2009.5360910 | - |
| dc.identifier.scopusid | 2-s2.0-77649318692 | - |
| dc.identifier.wosid | 000275138000089 | - |
| dc.identifier.bibliographicCitation | 2009 IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT, PROCEEDINGS, pp 435 - 439 | - |
| dc.citation.title | 2009 IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT, PROCEEDINGS | - |
| dc.citation.startPage | 435 | - |
| dc.citation.endPage | 439 | - |
| dc.type.docType | Proceedings Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.subject.keywordAuthor | Application classification | - |
| dc.subject.keywordAuthor | 3G | - |
| dc.subject.keywordAuthor | Machine learning | - |
| dc.subject.keywordAuthor | Clustering | - |
| dc.subject.keywordAuthor | network measurement | - |
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