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| Presentation | 2014-11-29 11:20 A study of learning method for intrusion detection system using machine learning Tadashi Ogino (Okinawa National College of Tech.)  SWIM2014-18 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The network intrusion is becoming a big threat. Recent intrusions are becoming more clever and difficult to detect. Many of today’s intrusion detection systems are signature-based. They have good performance for known attacks, but theoretically they are not able to detect unknown attacks. On the other hand, an anomaly detection system can detect unknown attacks and is getting focus recently. In this paper, we study the effectiveness and the performance experiments of one of the major anomaly detection scales, LOF, on distributed online machine learning framework, Jubatus. After basic experiment, we propose a new machine learning method and show our new method has better performance than the original method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Anomaly Detection / Machine Learning / Jubatus / LOF / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 344, SWIM2014-18, pp. 23-28, Nov. 2014. | |
| Paper # | SWIM2014-18 | |
| Date of Issue | 2014-11-22 (SWIM) | |
| 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 | SWIM2014-18 |
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| Conference Information | |
| Committee | SWIM |
| Conference Date | 2014-11-29 - 2014-11-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Polytechnic Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Implementation of Business modeling and Interprise (Work shop) |
| Paper Information | |
| Registration To | SWIM |
| Conference Code | 2014-11-SWIM |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study of learning method for intrusion detection system using machine learning |
| Sub Title (in English) | |
| Keyword(1) | Anomaly Detection |
| Keyword(2) | Machine Learning |
| Keyword(3) | Jubatus |
| Keyword(4) | LOF |
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| 1st Author's Name | Tadashi Ogino |
| 1st Author's Affiliation | Okinawa National College of Technology (Okinawa National College of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2014-11-29 11:20:00 |
| Presentation Time | 25 minutes |
| Registration for | SWIM |
| Paper # | SWIM2014-18 |
| Volume (vol) | vol.114 |
| Number (no) | no.344 |
| Page | pp.23-28 |
| #Pages | 6 |
| Date of Issue | 2014-11-22 (SWIM) |
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