138 0

Fine-grained traffic classification based on functional separation

Title
Fine-grained traffic classification based on functional separation
Author
원영준
Keywords
INTERNET; IDENTIFICATION; ALGORITHM
Issue Date
2013-10
Publisher
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
Citation
INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT 2013,23(5),p350-381
Abstract
SUMMARYCurrent efforts to classify Internet traffic highlight accuracy. Previous studies have focused on the detection of major applications such as P2P and streaming applications. However, these applications can generate various types of traffic which are often considered as minor and ignorant traffic portions. As network applications become more complex, the price paid for not concentrating on minor traffic classes is in reduction of accuracy and completeness. In this context, we propose a fine-grained traffic classification scheme and its detailed method, called functional separation. Our proposal can detect, according to functionalities, different types of traffic generated by a single application and should increase completeness by reducing the amount of undetected traffic. We verify our method with real-world traffic. Our performance comparison against existing DPI-based classification frameworks shows that the fine-grained classification scheme achieves consistently higher accuracyand completeness. Copyright (c) 2013 John Wiley & Sons, Ltd.
Description
World Class University program
URI
http://dx.doi.org/10.1002/nem.1837http://hdl.handle.net/20.500.11754/42250
ISSN
1055-7148
DOI
10.1002/nem.1837
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