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Paper Abstract and Keywords
Presentation 2018-07-26 11:45
Real-time Botnet Detection Using Nonnegative Tucker Decomposition
Hideaki Kanehara, Yuma Murakami (Waseda Univ.), Jumpei Shimamura (Clwit), Takeshi Takahashi (NICT), Noboru Murata (Waseda Univ.), Daisuke Inoue (NICT) ISEC2018-38 SITE2018-30 HWS2018-35 ICSS2018-41 EMM2018-37
Abstract (in Japanese) (See Japanese page) 
(in English) This study focuses on darknet traffic analysis and applies tensor factorization in order to detect coordinated group activities, such as a botnet.
Tensor factorization is more interpretable model than any other change point detection methods and can handle more features than matrix factorization.
Nonnegative tucker decomposition, one of the tensor factorization methods, has non-negativity constraints to avoid physically unreasonable results, but needs too much computational resources to run in real-time.
To address this problem, we propose a method for detecting group activities from the extracted features. The method combines existing methods to realize fast and memory-efficient factorization.
We introduce our prototype implementation of the proposed scheme, with which we demonstrate the effectiveness of the scheme by reviewing several past security incidents.
Keyword (in Japanese) (See Japanese page) 
(in English) Group Activity Detection / Botnet Detection / Tensor Factorization / Darknet Analysis / Real-time Analysis / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 154, ICSS2018-41, pp. 297-304, July 2018.
Paper # ICSS2018-41 
Date of Issue 2018-07-18 (ISEC, SITE, HWS, ICSS, EMM) 
ISSN Print edition: ISSN 0913-5685  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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF ISEC2018-38 SITE2018-30 HWS2018-35 ICSS2018-41 EMM2018-37

Conference Information
Committee HWS ISEC SITE ICSS EMM IPSJ-CSEC IPSJ-SPT  
Conference Date 2018-07-25 - 2018-07-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Sapporo Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Security, etc. 
Paper Information
Registration To ICSS 
Conference Code 2018-07-HWS-ISEC-SITE-ICSS-EMM-CSEC-SPT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Real-time Botnet Detection Using Nonnegative Tucker Decomposition 
Sub Title (in English)  
Keyword(1) Group Activity Detection  
Keyword(2) Botnet Detection  
Keyword(3) Tensor Factorization  
Keyword(4) Darknet Analysis  
Keyword(5) Real-time Analysis  
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1st Author's Name Hideaki Kanehara  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Yuma Murakami  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Jumpei Shimamura  
3rd Author's Affiliation Clwit Inc. (Clwit)
4th Author's Name Takeshi Takahashi  
4th Author's Affiliation National Institute of Information and Communications Technology (NICT)
5th Author's Name Noboru Murata  
5th Author's Affiliation Waseda University (Waseda Univ.)
6th Author's Name Daisuke Inoue  
6th Author's Affiliation National Institute of Information and Communications Technology (NICT)
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Speaker
Date Time 2018-07-26 11:45:00 
Presentation Time 25 
Registration for ICSS 
Paper # IEICE-ISEC2018-38,IEICE-SITE2018-30,IEICE-HWS2018-35,IEICE-ICSS2018-41,IEICE-EMM2018-37 
Volume (vol) IEICE-118 
Number (no) no.151(ISEC), no.152(SITE), no.153(HWS), no.154(ICSS), no.155(EMM) 
Page pp.297-304 
#Pages IEICE-8 
Date of Issue IEICE-ISEC-2018-07-18,IEICE-SITE-2018-07-18,IEICE-HWS-2018-07-18,IEICE-ICSS-2018-07-18,IEICE-EMM-2018-07-18 


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