An Integrated Method for Application-level Internet Traffic Classification
- Authors
- Choi, Mi-Jung; Park, Jun-Sang; Kim, Myung-Sup
- Issue Date
- 31-3월-2014
- Publisher
- KSII-KOR SOC INTERNET INFORMATION
- Keywords
- application-level traffic classification; signature-based classifier; behavior algorithm; correlation algorithm; integrated classification
- Citation
- KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, v.8, no.3, pp.838 - 856
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
- Volume
- 8
- Number
- 3
- Start Page
- 838
- End Page
- 856
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/98975
- DOI
- 10.3837/tiis.2014.03.007
- ISSN
- 1976-7277
- 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Graduate School > Department of Computer and Information Science > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.