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Paper Abstract and Keywords
Presentation 2023-03-03 13:30
DNS Query Log Aggregation Method Based on Co-occuerence
Masaki Kobayashi, Akito Suzuki, Masahiro Kobayashi (NTT), Tatsuaki Kimura (Osaka Univ.) IN2022-118
Abstract (in Japanese) (See Japanese page) 
(in English) The complexity of traffic demand fluctuation factors caused by the diversification of user terminals and services has made it difficult to predict traffic demand fluctuations. However, to ensure communication quality, it is necessary to forecast traffic demand appropriately based on the diversified factors and to allocate resources accordingly.In this paper, we focus on the fact that Fully Qualified Domain Name (FQDN) name resolution is performed by the Domain Name System (DNS) before traffic is generated, and aim to accurately predict demand fluctuations by analyzing the time-series variation of DNS queries. Prior research has used NTF (Non-negative Tensor Factorization) to pre-classify query logs.However, prior work is computationally expensive due to the large number of FQDNs contained in the logs, and prior aggregation is required.In this paper, we propose a method for FQDN aggregation by focusing on the co-occurrence of DNS queries. The proposed method defines the degree of similarity between FQDNs based on the co-occurrence of DNS queries, and constructs a graph with FQDNs as nodes and the degree of similarity between them as branches. The graph is then aggregated by using community analysis to extract FQDNs that are highly similar to each other. The results of the evaluation using the logs of DNS servers installed in a university network show that the proposed method improves the accuracy of traffic demand prediction.
Keyword (in Japanese) (See Japanese page) 
(in English) DNS / Community Analysis / Traffic Prediction / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 407, IN2022-118, pp. 311-316, March 2023.
Paper # IN2022-118 
Date of Issue 2023-02-23 (IN) 
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 IN2022-118

Conference Information
Committee IN NS  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Centre + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2023-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) DNS Query Log Aggregation Method Based on Co-occuerence 
Sub Title (in English)  
Keyword(1) DNS  
Keyword(2) Community Analysis  
Keyword(3) Traffic Prediction  
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1st Author's Name Masaki Kobayashi  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Akito Suzuki  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Masahiro Kobayashi  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Tatsuaki Kimura  
4th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2023-03-03 13:30:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2022-118 
Volume (vol) vol.122 
Number (no) no.407 
Page pp.311-316 
#Pages 6 
Date of Issue 2023-02-23 (IN) 

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