IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2021-03-19 11:15
A Proposal for Improving the Accuracy of Anomaly Detection by Focusing on Response Time in Web Services
Tatsuo Kumano, Naoyoshi Ohkawa, Hiroshi Fujita (Fujitsu Labs), Takuya Yoshikawa (Cybozu), Hitoshi Ueno (Fujitsu Labs) ICM2020-70
Abstract (in Japanese) (See Japanese page) 
(in English) In web services, usability decreases and user satisfaction declines when the response time is longer than usual. Operators need to detect and respond to this situation, because these situations will lead to a loss of customers.
To detect an increase in response time, anomaly detection is often used, which automatically recognizes the normal response time using statistical methods.
In this presentation, we propose a method of clustering URLs by response time and detecting anomalies for each cluster and evaluate it with the access logs of a commercial environment. As a result, we confirmed that the accuracy of anomaly detection is higher than that of statistical processing for each URL.
Keyword (in Japanese) (See Japanese page) 
(in English) web services / anomaly detection / clustering / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 433, ICM2020-70, pp. 58-63, March 2021.
Paper # ICM2020-70 
Date of Issue 2021-03-11 (ICM) 
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 ICM2020-70

Conference Information
Committee ICM  
Conference Date 2021-03-18 - 2021-03-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ICM 
Conference Code 2021-03-ICM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal for Improving the Accuracy of Anomaly Detection by Focusing on Response Time in Web Services 
Sub Title (in English)  
Keyword(1) web services  
Keyword(2) anomaly detection  
Keyword(3) clustering  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Tatsuo Kumano  
1st Author's Affiliation Fujitsu Laboratories Ltd. (Fujitsu Labs)
2nd Author's Name Naoyoshi Ohkawa  
2nd Author's Affiliation Fujitsu Laboratories Ltd. (Fujitsu Labs)
3rd Author's Name Hiroshi Fujita  
3rd Author's Affiliation Fujitsu Laboratories Ltd. (Fujitsu Labs)
4th Author's Name Takuya Yoshikawa  
4th Author's Affiliation Cybozu, Inc. (Cybozu)
5th Author's Name Hitoshi Ueno  
5th Author's Affiliation Fujitsu Laboratories Ltd. (Fujitsu Labs)
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2021-03-19 11:15:00 
Presentation Time 25 minutes 
Registration for ICM 
Paper # ICM2020-70 
Volume (vol) vol.120 
Number (no) no.433 
Page pp.58-63 
#Pages
Date of Issue 2021-03-11 (ICM) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan