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Paper Abstract and Keywords
Presentation 2023-09-21 14:40
Extracting context from external events using auxiliary information from network traffic data
Eilaf M.A Babai, Koji Okamura (Kyushu Univ.) IA2023-13
Abstract (in Japanese) (See Japanese page) 
(in English) Network traffic flow data is the main source of information about the network status, and it is constantly monitored to ensure network
operation. However, traffic data features alone are insufficient for network traffic prediction in network management, especially
when traffic has a random nature due to influence of external factors. This is because network data provides limited view about
user context compared to the network context and status. Hence, augmenting contextual information about users’ situation can
significantly improve the accuracy of network traffic prediction. Such information can be extracted by correlating spatio-temporal
features obtained from traffic data with occurring external events such as online fairs and lectures that have matching attributes.
In this work, we focus on a large campus network and aggregate inbound traffic into country wise time series based on auxiliary
geo-temporal features obtained from IP addresses. We then cluster these time series to investigate common patterns and identify
which external events are influencing significant fluctuations in network traffic for these countries. Finally, we model these events to
examine the predictive capabilities of this contextual data.
Keyword (in Japanese) (See Japanese page) 
(in English) Network traffic / Context / Events / Prediction / Goelocation / time series clustering / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 193, IA2023-13, pp. 11-18, Sept. 2023.
Paper # IA2023-13 
Date of Issue 2023-09-14 (IA) 
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 IA2023-13

Conference Information
Committee IA  
Conference Date 2023-09-21 - 2023-09-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univeristy 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Operation and Management, Network Architecture, Communication Protocols, IoT, etc. 
Paper Information
Registration To IA 
Conference Code 2023-09-IA 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extracting context from external events using auxiliary information from network traffic data 
Sub Title (in English)  
Keyword(1) Network traffic  
Keyword(2) Context  
Keyword(3) Events  
Keyword(4) Prediction  
Keyword(5) Goelocation  
Keyword(6) time series clustering  
Keyword(7)  
Keyword(8)  
1st Author's Name Eilaf M.A Babai  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Koji Okamura  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2023-09-21 14:40:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # IA2023-13 
Volume (vol) vol.123 
Number (no) no.193 
Page pp.11-18 
#Pages 8 
Date of Issue 2023-09-14 (IA) 

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