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Paper Abstract and Keywords
Presentation 2018-03-02 15:20
Method for Generating a Data Set to Detect Cyber Attacks for Autonomous and Distributed Internet Security Infrastructure
Yusei Katsura, Hiroyuki Kimiyama (Tokyo Denki Univ.), Akihiro Nakao (Tokyo Univ.), Naoki Yonezaki, Tomoaki Tsutsumi, Kaoru Sano (Tokyo Denki Univ.), Takeshi Okamoto, Mitsuru Maruyama (Kanagawa Institutes of Technology), Hiroshi Kobayashi (Tokyo Denki Univ.) NS2017-238
Abstract (in Japanese) (See Japanese page) 
(in English) We proposed "Autonomous and distributed Internet security (AIS) infrastructure" that enables to protect our resources on the Internet by cooperating with all ISPs. One of AIS functions is that Multi-Layer Binding Router, which is core device of AIS infrastructure, discards attack packets detected and requested to discard by end nodes. Attack packets detection proceeds rapidly and correctly since this function works effectively. We developed a program to extract statistical attribution per TCP session from traffic data without sampling. We experimented in extracting statistical attribution from actual traffic data, and classifying attack packets and normal packets by machine learning methods with that statistical attribution. We demonstrated that this developed program is effective to detect attack packets and some issues to resolve from these results.
Keyword (in Japanese) (See Japanese page) 
(in English) Cyber attack / Attack detection / Statistical attribution / Machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 459, NS2017-238, pp. 397-401, March 2018.
Paper # NS2017-238 
Date of Issue 2018-02-22 (NS) 
ISSN Print edition: ISSN 0913-5685    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 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) Method for Generating a Data Set to Detect Cyber Attacks for Autonomous and Distributed Internet Security Infrastructure 
Sub Title (in English)  
Keyword(1) Cyber attack  
Keyword(2) Attack detection  
Keyword(3) Statistical attribution  
Keyword(4) Machine learning  
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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 Akihiro Nakao  
3rd Author's Affiliation The University of Tokyo (Tokyo Univ.)
4th Author's Name Naoki Yonezaki  
4th Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
5th Author's Name Tomoaki Tsutsumi  
5th Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
6th Author's Name Kaoru Sano  
6th Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
7th Author's Name Takeshi Okamoto  
7th Author's Affiliation Kanagawa Institutes of Technology (Kanagawa Institutes of Technology)
8th Author's Name Mitsuru Maruyama  
8th Author's Affiliation Kanagawa Institutes of Technology (Kanagawa Institutes of Technology)
9th Author's Name Hiroshi Kobayashi  
9th Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
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Speaker Author-1 
Date Time 2018-03-02 15:20:00 
Presentation Time 20 minutes 
Registration for NS 
Paper # NS2017-238 
Volume (vol) vol.117 
Number (no) no.459 
Page pp.397-401 
#Pages
Date of Issue 2018-02-22 (NS) 


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