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Paper Abstract and Keywords
Presentation 2024-11-14 10:50
Adaptive Traffic Monitoring Method According to State of IP Networks
Shohei Kamamura (Seikei Univ.), Kouji Hirata (Kansai Univ.) NS2024-124
Abstract (in Japanese) (See Japanese page) 
(in English) Our goal is to optimize networks based on advanced data analysis by accurately collecting and storing big data on communication traffic at an analysis center. In this concept, it is necessary to transfer a large amount of traffic data generated on the network to a remote analysis center equipped with a high-performance server. In this case, the communication bandwidth of the bypass portion of this transfer could become a bottleneck. Therefore, this study proposes an adaptive traffic monitoring method that changes the granularity of traffic monitoring according to the network conditions to reduce the amount of collected data under the assumption that there is a communication bandwidth limitation in the bypass portion where the traffic is collected. To confirm the effectiveness of the proposed method, we conducted computer simulations of a scenario in which anomaly detection is performed. The results showed that the proposed method can reduce the amount of data collected by about 85% to 95%, while maintaining almost the same level of accuracy in anomaly detection as the method that monitors all traffic.
Keyword (in Japanese) (See Japanese page) 
(in English) IP Network / Communication Traffic / xFlow / Network Telemetry / Anomaly Detection / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 259, NS2024-124, pp. 13-18, Nov. 2024.
Paper # NS2024-124 
Date of Issue 2024-11-07 (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 NS2024-124

Conference Information
Committee NS ICM NV  
Conference Date 2024-11-14 - 2024-11-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukui University + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network quality, Network measurement/management, Network virtualization, Network service, Blockchain, Security, Network intelligence/AI, etc. 
Paper Information
Registration To NS 
Conference Code 2024-11-NS-ICM-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Adaptive Traffic Monitoring Method According to State of IP Networks 
Sub Title (in English)  
Keyword(1) IP Network  
Keyword(2) Communication Traffic  
Keyword(3) xFlow  
Keyword(4) Network Telemetry  
Keyword(5) Anomaly Detection  
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Keyword(7)  
Keyword(8)  
1st Author's Name Shohei Kamamura  
1st Author's Affiliation Seikei University (Seikei Univ.)
2nd Author's Name Kouji Hirata  
2nd Author's Affiliation Kansai University (Kansai Univ.)
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Speaker Author-1 
Date Time 2024-11-14 10:50:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2024-124 
Volume (vol) vol.124 
Number (no) no.259 
Page pp.13-18 
#Pages 6 
Date of Issue 2024-11-07 (NS) 

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