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| Presentation | 2009-07-17 15:00 [Special Talk] Visualizing and Classifying Internet Traffic based on Connection Patterns Yosuke Himura (The Univ. of Tokyo), Kensuke Fukuda (NII /JST), Kenjiro Cho (IIJ), Hiroshi Esaki (The Univ. of Tokyo)  IA2009-27 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this technical report, we develop a visualization tool of Internet traffic based on connection patterns for additional information of anomaly detection reports. The connection pattern is defined as information aggregated from flows generated by a certain host; it represents how the 5-tuples are correlated each other. We evaluate our tool by using anomaly detection algorithm based on Sketch and the multi-scale gamma model with MAWI real-traffic traces. The main result of the visualization and investigation of anomaly traffic is as follows: (a) efficient profiling of anomaly traffic, (b) identification of anomaly traffic by using visualized connection patterns, (c) support for identifing unknown traffic and finding misclassified traffic. We aim to construct a database of anomaly traffic, and to automatically tune parameters of network anomaly detection and classification methods. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | traffic analysis / network anomaly detection / traffic classification / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 109, no. 137, IA2009-27, pp. 33-38, July 2009. | |
| Paper # | IA2009-27 | |
| Date of Issue | 2009-07-10 (IA) | |
| 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) | |
| Download PDF | IA2009-27 |
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| Conference Information | |
| Committee | IA |
| Conference Date | 2009-07-17 - 2009-07-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | IIJ Kanda Jinbocho Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Internet Operation and Management, etc. |
| Paper Information | |
| Registration To | IA |
| Conference Code | 2009-07-IA |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Visualizing and Classifying Internet Traffic based on Connection Patterns |
| Sub Title (in English) | |
| Keyword(1) | traffic analysis |
| Keyword(2) | network anomaly detection |
| Keyword(3) | traffic classification |
| Keyword(4) | |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yosuke Himura |
| 1st Author's Affiliation | The University of Tokyo (The Univ. of Tokyo) |
| 2nd Author's Name | Kensuke Fukuda |
| 2nd Author's Affiliation | National Institute of Informatics/PRESTO, JST (NII /JST) |
| 3rd Author's Name | Kenjiro Cho |
| 3rd Author's Affiliation | Internet Initiative Japan (IIJ) |
| 4th Author's Name | Hiroshi Esaki |
| 4th Author's Affiliation | The University of Tokyo (The Univ. of Tokyo) |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2009-07-17 15:00:00 |
| Presentation Time | 30 minutes |
| Registration for | IA |
| Paper # | IA2009-27 |
| Volume (vol) | vol.109 |
| Number (no) | no.137 |
| Page | pp.33-38 |
| #Pages | 6 |
| Date of Issue | 2009-07-10 (IA) |
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