TIIS (한국인터넷정보학회)
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| 한글제목(Korean Title) |
An Integrated Method for Application-level Internet Traffic Classification |
| 영문제목(English Title) |
An Integrated Method for Application-level Internet Traffic Classification |
| 저자(Author) |
Mi-Jung Choi
Jun-Sang Park
Myung-Sup Kim
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| 원문수록처(Citation) |
VOL 08 NO. 03 PP. 0838 ~ 0856 (2014. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Enhanced network speed and the appearance of various applications have recently resulted in the rapid increase of Internet users and the explosive growth of network traffic. Under this circumstance, Internet users are eager to receive reliable and Quality of Service (QoS)-guaranteed services. To provide reliable network services, network managers need to perform control measures involving dropping or blocking each traffic type. To manage a traffic type, it is necessary to rapidly measure and correctly analyze Internet traffic as well as classify network traffic according to applications. Such traffic classification result provides basic information for ensuring service-specific QoS. Several traffic classification methodologies have been introduced; however, there has been no favorable method in achieving optimal performance in terms of accuracy, completeness, and applicability in a real network environment. In this paper, we propose a method to classify Internet traffic as the first step to provide stable network services. We integrate the existing methodologies to compensate their weaknesses and to improve the overall accuracy and completeness of the classification. We prioritize the existing methodologies, which complement each other, in our integrated classification system.
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| 키워드(Keyword) |
application-level traffic classification
signature-based classifier
behavior algorithm
correlation algorithm
integrated classification
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| 파일첨부 |
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