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Paper Abstract and Keywords
Presentation 2022-10-05 10:45
A Feature Extraction Method From Command Outputs of Network Devices
Keitaro Kaida, Tatsuaki Kimura (Osaka Univ.), Hiroshi Yamauchi (SBKK), Tetsuya Takine (Osaka Univ.) NS2022-76
Abstract (in Japanese) (See Japanese page) 
(in English) With the diversification and rapid growth of communication services, monitoring and management of networks have become increasingly complex. Therefore, the conventional failure diagnosis procedure, in which network operators execute network commands to check the device status and to determine the failure locations and causes, does not scale, and its automation is in high demand. However, the output logs of these commands for troubleshooting, called device command outputs, are unstructured text messages consisting of tens to hundreds of lines, and therefore automatic analysis and information extraction have been challenging tasks. In this study, we propose a feature extraction method from device command outputs, which automatically identifies templates, i.e., primary parts of device command outputs, and extracts parameter variables that vary with command outputs as features. The proposed method first divides each command output into blocks, each of which constitutes a template. The blocks are then merged into clusters and a sequence of words that commonly appear within the blocks in each cluster is extracted as a template. Finally, parameter variables are identified by using the templates, and feature vectors are constructed by considering the types of words, such as numbers and symbols. Furthermore, we apply the proposed method to data obtained from a real network to evaluate the accuracy of template extraction. Moreover, as an example of the application of the extracted feature vectors, we perform anomaly detection using device command outputs and demonstrate the usefulness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Network operations / failure diagnosis / device command output / feature extraction / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 198, NS2022-76, pp. 1-1, Oct. 2022.
Paper # NS2022-76 
Date of Issue 2022-09-28 (NS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee NS  
Conference Date 2022-10-05 - 2022-10-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaidou University + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network architecture (5G, Local 5G, Beyond5G, Mobile networks, Ad-hoc and sensor networks, Overlay and P2P networks, Programmable networks, SDN/NFV, IoT, Network slicing), Next generation packet transport (High speed Ethernet, IP over WDM, Multi-service package technology, MPLS), Grid, etc. 
Paper Information
Registration To NS 
Conference Code 2022-10-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Feature Extraction Method From Command Outputs of Network Devices 
Sub Title (in English)  
Keyword(1) Network operations  
Keyword(2) failure diagnosis  
Keyword(3) device command output  
Keyword(4) feature extraction  
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1st Author's Name Keitaro Kaida  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Tatsuaki Kimura  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Hiroshi Yamauchi  
3rd Author's Affiliation Softbank Corporation (SBKK)
4th Author's Name Tetsuya Takine  
4th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2022-10-05 10:45:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2022-76 
Volume (vol) vol.122 
Number (no) no.198 
Page p.1 
#Pages
Date of Issue 2022-09-28 (NS) 


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