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Paper Abstract and Keywords
Presentation 2019-03-05 14:30
Proposal of real-time brute-force attack detection and blocking system using software switch
Yusei Katsura, Hiroyuki Kimiyama, Tomoaki Tsutsumi, Naoki Yonezaki (Tokyo Denki Univ.), Junki Ichikawa (NTT), Mitsuru Maruyama (Kanagawa Instiute of Technology) NS2018-272
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, both number and scale of cyber attacks by using a large scale BotNet are increasing year by year. The BotNet executes brute-force attacks to expand themselves. We consider that blocking these brute-force attacks as soon as finding them are necessary to decrease cyber attacks. Therefore, we research and develop a system to detect above attacks in real-time and block them instantaneously. In this paper, we explain implementation method for the attack detection by machine learning and blocking system using software switch. We also show results for a performance measurement and discussion about using machine learning for brute-force attack detection.
Keyword (in Japanese) (See Japanese page) 
(in English) Brute-force attack / machine learning / software switch / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 465, NS2018-272, pp. 461-464, March 2019.
Paper # NS2018-272 
Date of Issue 2019-02-25 (NS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee IN NS  
Conference Date 2019-03-04 - 2019-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2019-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal of real-time brute-force attack detection and blocking system using software switch 
Sub Title (in English)  
Keyword(1) Brute-force attack  
Keyword(2) machine learning  
Keyword(3) software switch  
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1st Author's Name Yusei Katsura  
1st Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
2nd Author's Name Hiroyuki Kimiyama  
2nd Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
3rd Author's Name Tomoaki Tsutsumi  
3rd Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
4th Author's Name Naoki Yonezaki  
4th Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
5th Author's Name Junki Ichikawa  
5th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
6th Author's Name Mitsuru Maruyama  
6th Author's Affiliation Kanagawa Instiute of Technology (Kanagawa Instiute of Technology)
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Speaker Author-1 
Date Time 2019-03-05 14:30:00 
Presentation Time 20 minutes 
Registration for NS 
Paper # NS2018-272 
Volume (vol) vol.118 
Number (no) no.465 
Page pp.461-464 
#Pages
Date of Issue 2019-02-25 (NS) 


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