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Paper Abstract and Keywords
Presentation 2017-03-06 15:30
Impact Evaluation of Sketch Schemes on Traffic Anomaly Detection Accuracy
Masamichi Yoshioka, Takefumi Hiraguri, Hideaki Yoshino (NIT) CQ2016-119
Abstract (in Japanese) (See Japanese page) 
(in English) Evolution and popularization of mobile devices such as smartphones and tablets lead to the drastic increase of internet traffic in recent years. Network monitoring for high speed networks shared by the increasing traffic becomes crucial issue. Especially, anomaly traffic detection technology for high speed network is one of the most important issues, because the cyber-attacks such as worm, port scan, and DDoS attack have been more serious. In this study, we focus on sketch schemes of data reduction methods for anomaly traffic detection, which become essential in the high speed network. Previous studies on sketch schemes neglected to fully clarify the impact of the sketch parameters on the anomaly detection performance. This study verified the processing time and traffic anomaly detection accuracy using the Bollinger-Band with a sketch as a function of two sketch parameters: the number of hash functions and hash table size. The range of the two sketch parameters was clarified in terms of the processing time and F-measure, which evaluates both the false positive and false negative rates.
Keyword (in Japanese) (See Japanese page) 
(in English) Traffic Anomaly / Sketch / Bollinger Band / High Speed Network / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 497, CQ2016-119, pp. 49-54, March 2017.
Paper # CQ2016-119 
Date of Issue 2017-02-27 (CQ) 
ISSN Print edition: ISSN 0913-5685    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 CQ2016-119

Conference Information
Committee MVE IE CQ IMQ  
Conference Date 2017-03-06 - 2017-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyusyu Univ. Ohashi Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Five senses media, Multimedia, Virtual Environment, Image encoding, Ultra realistic, Network quality and reliability, Image media quality, etc. 
Paper Information
Registration To CQ 
Conference Code 2017-03-MVE-IE-CQ-IMQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Impact Evaluation of Sketch Schemes on Traffic Anomaly Detection Accuracy 
Sub Title (in English)  
Keyword(1) Traffic Anomaly  
Keyword(2) Sketch  
Keyword(3) Bollinger Band  
Keyword(4) High Speed Network  
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1st Author's Name Masamichi Yoshioka  
1st Author's Affiliation Nippon Institute of Technology (NIT)
2nd Author's Name Takefumi Hiraguri  
2nd Author's Affiliation Nippon Institute of Technology (NIT)
3rd Author's Name Hideaki Yoshino  
3rd Author's Affiliation Nippon Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2017-03-06 15:30:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2016-119 
Volume (vol) vol.116 
Number (no) no.497 
Page pp.49-54 
#Pages 6 
Date of Issue 2017-02-27 (CQ) 

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