Paper Abstract and Keywords |
Presentation |
2015-03-19 10:40
A Method of Multi-stage Application Identification for Improving Identification Accuracy Yuichi Kumano, Shingo Ata (Osaka City Univ.), Nobuyuki Nakamura, Yoshihiro Nakahira (OKI), Ikuo Oka (Osaka City Univ.) ICM2014-57 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
A method of application identification is important for network management because it is used for traffic controls and anomaly traffic detection. To apply traffic controls based on applications immediately, real-time application identification technique is essential. We previously proposed a method of real-time application identification, and it achieved high accuracy. However, our proposed method needs the same number of packets to identify each application because it uses only one classifier. The problem in our proposed method is to need more packets than necessary in order to identify applications even if it can identify applications earlier. In this paper, we propose a method of multi-stage application identification, which uses multi-classifier. First, we reveal that accuracy is degraded when we increase number of applications. Second, we examine traffic features used by group classification. Finally, we describe how to classify applications into groups. We demonstrate that our proposed method can identify applications earlier than using one classifier. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Application Identification / Multi-Stage Identification / Real-time / Flow Statistics / Machine Learning / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 523, ICM2014-57, pp. 19-24, March 2015. |
Paper # |
ICM2014-57 |
Date of Issue |
2015-03-12 (ICM) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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ICM2014-57 |
Conference Information |
Committee |
ICM |
Conference Date |
2015-03-19 - 2015-03-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Ishigaki-City-Hall |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Element Management, Management Functionalities, Operations and Management Technologies |
Paper Information |
Registration To |
ICM |
Conference Code |
2015-03-ICM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Method of Multi-stage Application Identification for Improving Identification Accuracy |
Sub Title (in English) |
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Keyword(1) |
Application Identification |
Keyword(2) |
Multi-Stage Identification |
Keyword(3) |
Real-time |
Keyword(4) |
Flow Statistics |
Keyword(5) |
Machine Learning |
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1st Author's Name |
Yuichi Kumano |
1st Author's Affiliation |
Osaka City University (Osaka City Univ.) |
2nd Author's Name |
Shingo Ata |
2nd Author's Affiliation |
Osaka City University (Osaka City Univ.) |
3rd Author's Name |
Nobuyuki Nakamura |
3rd Author's Affiliation |
Oki Electric Industry Co., Ltd. (OKI) |
4th Author's Name |
Yoshihiro Nakahira |
4th Author's Affiliation |
Oki Electric Industry Co., Ltd. (OKI) |
5th Author's Name |
Ikuo Oka |
5th Author's Affiliation |
Osaka City University (Osaka City Univ.) |
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Speaker |
Author-1 |
Date Time |
2015-03-19 10:40:00 |
Presentation Time |
20 minutes |
Registration for |
ICM |
Paper # |
ICM2014-57 |
Volume (vol) |
vol.114 |
Number (no) |
no.523 |
Page |
pp.19-24 |
#Pages |
6 |
Date of Issue |
2015-03-12 (ICM) |
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