Paper Abstract and Keywords |
Presentation |
2019-06-07 11:20
Development of System to Analyze Aggressive Communication Using Self-Organizing Map and Convolutional Neural Network Akifumi Iwasa, Hikofumi Suzuki, Takumi Uchiyama (Shinshu Univ.), Tetsuya ui (NEC) IA2019-8 ICSS2019-8 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, the importance of the Internet is increasing. However, DoS / DDoS attacks is increasing. It is difficult to detect. So, we analyze the network traffic log as a way to defend. Therefore, if we can analyze these attacks from traffic logs, we can use them to improve security. We visualized the network traffic log by Self-Organizing Maps (SOM). We detect highly aggressive communication using Convolutional Neural Network (CNN) which is one of machine learning methods. In this paper, we describe about detection of suspicious traffic and development of system. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
security / DoS/DDoS / traffic log / Self-Organizing Maps (SOM) / Convolutional Neural Network(CNN) / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 70, ICSS2019-8, pp. 37-41, June 2019. |
Paper # |
ICSS2019-8 |
Date of Issue |
2019-05-30 (IA, ICSS) |
ISSN |
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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IA2019-8 ICSS2019-8 |
Conference Information |
Committee |
IA ICSS |
Conference Date |
2019-06-06 - 2019-06-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Research Institute for Electrical Communication, Tohoku University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Internet Security, etc. |
Paper Information |
Registration To |
ICSS |
Conference Code |
2019-06-IA-ICSS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Development of System to Analyze Aggressive Communication Using Self-Organizing Map and Convolutional Neural Network |
Sub Title (in English) |
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Keyword(1) |
security |
Keyword(2) |
DoS/DDoS |
Keyword(3) |
traffic log |
Keyword(4) |
Self-Organizing Maps (SOM) |
Keyword(5) |
Convolutional Neural Network(CNN) |
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1st Author's Name |
Akifumi Iwasa |
1st Author's Affiliation |
Shinshu University (Shinshu Univ.) |
2nd Author's Name |
Hikofumi Suzuki |
2nd Author's Affiliation |
Shinshu University (Shinshu Univ.) |
3rd Author's Name |
Takumi Uchiyama |
3rd Author's Affiliation |
Shinshu University (Shinshu Univ.) |
4th Author's Name |
Tetsuya ui |
4th Author's Affiliation |
NEC Corporation (NEC) |
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Speaker |
Author-1 |
Date Time |
2019-06-07 11:20:00 |
Presentation Time |
25 minutes |
Registration for |
ICSS |
Paper # |
IA2019-8, ICSS2019-8 |
Volume (vol) |
vol.119 |
Number (no) |
no.69(IA), no.70(ICSS) |
Page |
pp.37-41 |
#Pages |
5 |
Date of Issue |
2019-05-30 (IA, ICSS) |
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