Paper Abstract and Keywords |
Presentation |
2010-03-05 11:00
Unsupervised Ensemble Anomaly Detection Method using Time-Periodical Packet Sampling Shuichi Nawata, Masato Uchida (Kyushu Inst. of Tech.), Yu Gu (NEC Labs America), Masato Tsuru, Yuji Oie (Kyushu Inst. of Tech.) IN2009-198 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We propose an anomaly detection method that trains a baseline model describing the normal behavior of network traffic without using manually labeled traffic data. The trained baseline distribution is used as the basis for comparison with the audit network traffic. The proposed method can be carried out in an unsupervised manner through the use of time-periodical packet sampling for a different purpose from which it was intended. That is, we take advantage of the lossy nature of packet sampling for the purpose of extracting normal packets from the unlabeled original traffic data. By using real traffic traces, we show that the proposed method is comparable to the conventional method that requires manually labeled traffic data to train the baseline model. In addition, in order to mitigate the possible performance variation due to probabilistic nature of sampled traffic data, we devised an ensemble anomaly detection method that exploits multiple baseline models in parallel. Experimental results show that the proposed ensemble anomaly detection performs well and is not affected by the variability of time-periodical packet sampling. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Time-Periodical Packet Sampling / Unsupervised Anomaly Detection / Ensemble Learning / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 449, IN2009-198, pp. 325-330, March 2010. |
Paper # |
IN2009-198 |
Date of Issue |
2010-02-25 (IN) |
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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IN2009-198 |
Conference Information |
Committee |
NS IN |
Conference Date |
2010-03-04 - 2010-03-05 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Miyazaki Phoenix Seagaia Resort (Miyazaki) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
General, NS+IN workshop (March 4-5) |
Paper Information |
Registration To |
IN |
Conference Code |
2010-03-NS-IN |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Unsupervised Ensemble Anomaly Detection Method using Time-Periodical Packet Sampling |
Sub Title (in English) |
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Keyword(1) |
Time-Periodical Packet Sampling |
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Unsupervised Anomaly Detection |
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Ensemble Learning |
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1st Author's Name |
Shuichi Nawata |
1st Author's Affiliation |
Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
2nd Author's Name |
Masato Uchida |
2nd Author's Affiliation |
Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
3rd Author's Name |
Yu Gu |
3rd Author's Affiliation |
NEC Laboratories America (NEC Labs America) |
4th Author's Name |
Masato Tsuru |
4th Author's Affiliation |
Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
5th Author's Name |
Yuji Oie |
5th Author's Affiliation |
Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2010-03-05 11:00:00 |
Presentation Time |
20 minutes |
Registration for |
IN |
Paper # |
IN2009-198 |
Volume (vol) |
vol.109 |
Number (no) |
no.449 |
Page |
pp.325-330 |
#Pages |
6 |
Date of Issue |
2010-02-25 (IN) |
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