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ABSTRACT
ISSN: 0975-4024
Title |
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Ambiguity and Concepts in Real Time Online Internet Traffic Classification |
Authors |
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Hamza Awad Hamza Ibrahim, Sulaiman Mohd Nor, Ban Mohammed Khammas |
Keywords |
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Online Internet Traffic classification, Machine Learning, network traffic classification |
Issue Date |
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Feb - Mar 2014 |
Abstract |
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Internet traffic classification gained significant attention in the last few years. Identifying the Internet applications in the real time is one of the most significant challenges in network traffic classification. Most of the proposed classification methods are limited to offline classification and cannot support online classification. This paper aims to highlight the ambiguity in the definition of online classification. Therefore, some of the previous online classification works are discussed and analyzed. This analysing is to check how far the real time online classification was achieved. The results indicate that most of the previous works consider a real Internet traffic but did not consider a real time online classification. In addition, the paper provides a real time classifier which was proposed and used in [1] [2] [3], to show how to perform a real time online classification. |
Page(s) |
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403-410 |
ISSN |
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0975-4024 |
Source |
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Vol. 6, No.1 |
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