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Paper Abstract and Keywords
Presentation 2024-01-25 13:00
[Encouragement Talk] Performance evaluation of network anomaly detection and failure scale estimation method.
Naoya Ogawa, Ryoichi Kawahara (Toyo Univ.) NS2023-159
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we evaluate the performance of the method proposed in "Network anomaly detection and failure scale estimation method" under more realistic conditions. In the proposed method, the network is divided into several groups, and the anomaly for traffic between each group is detected by a dedicated autoencoder, and the failure scale is estimated from the number of autoencoders in each of which an anomaly is detected. In the experiment, we replayed actual traffic data on a virtual network constructed by Mininet and trained each autoencoder on the network data obtained during normal conditions, and then evaluated whether anomaly detection and failure scale estimation were possible in the case of congestion and so on.
Keyword (in Japanese) (See Japanese page) 
(in English) Anomaly detection / Failure scale / Autoencoder / Mininet / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 367, NS2023-159, pp. 1-6, Jan. 2024.
Paper # NS2023-159 
Date of Issue 2024-01-18 (NS) 
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)
Download PDF NS2023-159

Conference Information
Committee NS NWS  
Conference Date 2024-01-25 - 2024-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Higashisenda Campus, HiroshimaUniversity + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network software (Software architecture, Middleware), Network application, SOA/SDP, NGN/IMS/API, Distributed control/Dynamic routing, Grid, NFV, IoT, Network/System reliability, Network/System evaluation, etc. 
Paper Information
Registration To NS 
Conference Code 2024-01-NS-NWS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance evaluation of network anomaly detection and failure scale estimation method. 
Sub Title (in English)  
Keyword(1) Anomaly detection  
Keyword(2) Failure scale  
Keyword(3) Autoencoder  
Keyword(4) Mininet  
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1st Author's Name Naoya Ogawa  
1st Author's Affiliation Toyo University (Toyo Univ.)
2nd Author's Name Ryoichi Kawahara  
2nd Author's Affiliation Toyo University (Toyo Univ.)
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Speaker Author-1 
Date Time 2024-01-25 13:00:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2023-159 
Volume (vol) vol.123 
Number (no) no.367 
Page pp.1-6 
#Pages 6 
Date of Issue 2024-01-18 (NS) 

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