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Paper Abstract and Keywords
Presentation 2018-03-07 13:00
A Study on Malware Activity Detection Based on Real-time Analysis of Darknet Data Using Graphical Lasso
Chansu Han (Kyushu Univ.), Jumpei Shimamura (Clwit Inc.), Takeshi Takahashi, Daisuke Inoue (NICT), Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.), Koji Nakao (NICT) ICSS2017-51
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we considered a method to detect malignant activity (especially botnet) in cyber space automatically and in real-time from darknet traffic data. A method to grasp the cooperative relationship between the source hosts from the traffic data based on the graph density obtained by the Graphical Lasso algorithm, and to detect abnormality was studied. We developed the method and proposed a method to detect malignant activities in real-time by using a new alert judgment method. In our research, we implemented a tool to carry out the analysis using the proposed method against actual darknet traffic and confirmed that it operates in real-time. At the same time, we shortened the program calculation time and evaluated parameter tuning. Finally, we introduced examples of malicious activities detected in continuous operation.
Keyword (in Japanese) (See Japanese page) 
(in English) Malware Activity Detection / Graphical Lasso / Graph Density / Online Processing / Real-time Analysis / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 481, ICSS2017-51, pp. 1-6, March 2018.
Paper # ICSS2017-51 
Date of Issue 2018-02-28 (ICSS) 
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)
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Conference Information
Committee ICSS IPSJ-SPT  
Conference Date 2018-03-07 - 2018-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Hokubu Koyou Nouryoku Kaihatsu Sougou Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Security, Trust, etc. 
Paper Information
Registration To ICSS 
Conference Code 2018-03-ICSS-SPT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Malware Activity Detection Based on Real-time Analysis of Darknet Data Using Graphical Lasso 
Sub Title (in English)  
Keyword(1) Malware Activity Detection  
Keyword(2) Graphical Lasso  
Keyword(3) Graph Density  
Keyword(4) Online Processing  
Keyword(5) Real-time Analysis  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Chansu Han  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Jumpei Shimamura  
2nd Author's Affiliation Clwit Incorporated (Clwit Inc.)
3rd Author's Name Takeshi Takahashi  
3rd Author's Affiliation National Institute of Information and Communications Technology (NICT)
4th Author's Name Daisuke Inoue  
4th Author's Affiliation National Institute of Information and Communications Technology (NICT)
5th Author's Name Masanori Kawakita  
5th Author's Affiliation Kyushu University (Kyushu Univ.)
6th Author's Name Jun'ichi Takeuchi  
6th Author's Affiliation Kyushu University (Kyushu Univ.)
7th Author's Name Koji Nakao  
7th Author's Affiliation National Institute of Information and Communications Technology (NICT)
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Speaker Author-1 
Date Time 2018-03-07 13:00:00 
Presentation Time 25 minutes 
Registration for ICSS 
Paper # ICSS2017-51 
Volume (vol) vol.117 
Number (no) no.481 
Page pp.1-6 
#Pages 6 
Date of Issue 2018-02-28 (ICSS) 

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