Paper Abstract and Keywords |
Presentation |
2018-03-02 13:30
Network Abnormality Detection Using Machine Learning TsukasaMannen, Kohei Shiomoto (TCU) NS2017-226 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Today, through the widespread use of internet, we need to take measures of Malicious Software. Once computers on the internet are infected with the Malicious Software, some serious problems arise, such as personal information leak. Although many systems are currently being developed to protect computers on the network from malware attacks, it is difficult to find effective measures for all malware because of the development of new malwares. In this paper, we focus on the Intrusion Detection System(IDS) and examine the accuracy of classifications, which are attacks and non-attacks by using machine learning. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
KDD cup 99 Data / Neural network / Machine learning / IDS / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 459, NS2017-226, pp. 327-332, March 2018. |
Paper # |
NS2017-226 |
Date of Issue |
2018-02-22 (NS) |
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 |
NS2017-226 |
Conference Information |
Committee |
NS IN |
Conference Date |
2018-03-01 - 2018-03-02 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Phoenix Seagaia Resort |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
General |
Paper Information |
Registration To |
NS |
Conference Code |
2018-03-NS-IN |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Network Abnormality Detection Using Machine Learning |
Sub Title (in English) |
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KDD cup 99 Data |
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Neural network |
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Machine learning |
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IDS |
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1st Author's Name |
TsukasaMannen |
1st Author's Affiliation |
Tokyo City University (TCU) |
2nd Author's Name |
Kohei Shiomoto |
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Tokyo City University (TCU) |
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Speaker |
Author-1 |
Date Time |
2018-03-02 13:30:00 |
Presentation Time |
20 minutes |
Registration for |
NS |
Paper # |
NS2017-226 |
Volume (vol) |
vol.117 |
Number (no) |
no.459 |
Page |
pp.327-332 |
#Pages |
6 |
Date of Issue |
2018-02-22 (NS) |
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