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Paper Abstract and Keywords
Presentation 2006-11-16 12:50
Performance Evaluation of a Multi-Stage Network Anomaly Detection Scheme for Decreasing the False-Positive Rate against a Large Number of Simultaneous, Unknown Events
Tutomu Murase (NEC), Yukinobu Fukushima (Okayama Univ.), Masayoshi Kobayashi (NEC), Hiroki Fujiwara, Tokumi Yokohira (Okayama Univ.) IN2006-93
Abstract (in Japanese) (See Japanese page) 
(in English) Change-point detection schemes are a promising approach for detecting network anomalies such as attacks and infections by unknown viruses and worms. They detect those behaviors as change-points. In general, however, because they also detect false-positive change-points, those caused by other factors such as hardware troubles, we need a scheme that only detects true-positive change-points caused by attacks and infections. True-positive change-points tend to occur simultaneously, and the number of true-positive change-points is very large, while false-positive change-points tend to occur sporadically. We exclude false-positive change-points by neglecting change-points that occur sporadically, based on information gathered from
the whole network. In this paper, we propose a multi-stage network anomaly detection scheme that aggregates change-point information from distributed IDSs (Intrusion Detection Systems) and detects the true-positive change-points. Simulation results illustrate that, compared to a scheme using only one IDS, our method always yields a smaller false-positive rate, a reduction of up to 98%, under a constraint that the detection rate of the true-positive change-points must exceed 0.99.
Keyword (in Japanese) (See Japanese page) 
(in English) Virus / Worm / Multi-Stage Network Anomaly Detection / Change-Point Detection / Simultaneous Multiple Events / / /  
Reference Info. IEICE Tech. Rep., vol. 106, no. 358, IN2006-93, pp. 25-30, Nov. 2006.
Paper # IN2006-93 
Date of Issue 2006-11-09 (IN) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 IN MoNA  
Conference Date 2006-11-16 - 2006-11-17 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) FMC, Mobile Network, Home Network, etc. 
Paper Information
Registration To IN 
Conference Code 2006-11-IN-MoMuC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluation of a Multi-Stage Network Anomaly Detection Scheme for Decreasing the False-Positive Rate against a Large Number of Simultaneous, Unknown Events 
Sub Title (in English)  
Keyword(1) Virus  
Keyword(2) Worm  
Keyword(3) Multi-Stage Network Anomaly Detection  
Keyword(4) Change-Point Detection  
Keyword(5) Simultaneous Multiple Events  
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Keyword(7)  
Keyword(8)  
1st Author's Name Tutomu Murase  
1st Author's Affiliation NEC Corporation (NEC)
2nd Author's Name Yukinobu Fukushima  
2nd Author's Affiliation Okayama University (Okayama Univ.)
3rd Author's Name Masayoshi Kobayashi  
3rd Author's Affiliation NEC Corporation (NEC)
4th Author's Name Hiroki Fujiwara  
4th Author's Affiliation Okayama University (Okayama Univ.)
5th Author's Name Tokumi Yokohira  
5th Author's Affiliation Okayama University (Okayama Univ.)
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Speaker Author-4 
Date Time 2006-11-16 12:50:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2006-93 
Volume (vol) vol.106 
Number (no) no.358 
Page pp.25-30 
#Pages
Date of Issue 2006-11-09 (IN) 


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