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Paper Abstract and Keywords
Presentation 2017-10-27 11:10
A Study of Infection Attack Detection Mechanism on a Carrier Network Considering Lightweight Feature Extraction
Yukihiro Togari, Hiroaki Maeda, Hisashi Kojima, Yoshiko Sueda (NTT) NS2017-109
Abstract (in Japanese) (See Japanese page) 
(in English) As many hosts which is not equipped with any security functions with respect to production cost connect to Internet and are seriously targeted by cyber attacks, communication carriers are expected to protect these attacks. Howerver, infection attacks, such as scan attacks or telnet attacks, cannot be captured by flow sampling because of their small amount. In this paper, we proposed a lightweight information extraction and detection mechanism on a carrier network, which focuses on the variation of traffic when information attacks occur, and we evaluated the performance of our proposed mechanism thorough simulation.
Keyword (in Japanese) (See Japanese page) 
(in English) Network Security / Anomaly Detection / Machine Learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 262, NS2017-109, pp. 89-94, Oct. 2017.
Paper # NS2017-109 
Date of Issue 2017-10-19 (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 NS2017-109

Conference Information
Committee NS  
Conference Date 2017-10-26 - 2017-10-27 
Place (in Japanese) (See Japanese page) 
Place (in English) I-site nanba 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network Architecture (Overlay, P2P, Ubiquitous NW, Scale-free NW, Active NW, NGN/NwGN), Next Generation Packet Transport (High-speed Ethernet, IP over WDM, Multi-Service Packet Technologies, MPLS), Grid, etc. 
Paper Information
Registration To NS 
Conference Code 2017-10-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Infection Attack Detection Mechanism on a Carrier Network Considering Lightweight Feature Extraction 
Sub Title (in English)  
Keyword(1) Network Security  
Keyword(2) Anomaly Detection  
Keyword(3) Machine Learning  
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1st Author's Name Yukihiro Togari  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Hiroaki Maeda  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Hisashi Kojima  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Yoshiko Sueda  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2017-10-27 11:10:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2017-109 
Volume (vol) vol.117 
Number (no) no.262 
Page pp.89-94 
#Pages 6 
Date of Issue 2017-10-19 (NS) 

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