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Paper Abstract and Keywords
Presentation 2022-03-08 13:40
ML-based detection of C&C communications for sandbox analysis of IoT malware
Yuki Endo, Kaichi Sameshima, Rui Tanabe, Katsunari Yoshioka, Tsutomu Matsumoto (YNU) ICSS2021-75
Abstract (in Japanese) (See Japanese page) 
(in English) In order to analyze the behavior of malware, dynamic analysis has been widely utilized. Among various communication of malware, those with C&C servers are important for understanding the trends and behavior of attackers. In this study, we propose a method to identify C&C servers from communication observed by dynamic analysis of IoT malware. Our key observation is that connecting C&C server is so essential for malware that it would try to connect to the servers for every execution and would keep its attempt if the connection is not established. We propose an ML-based method to identify the C&C server from the communication of malware observed by multiple dynamic analyses using different network environments to highlight its tenacity for the C&C server. In the experiment with 363 malware samples captured by IoT honeypot, C&C servers were identified with the precision of 100% and the recall of 98.6%.
Keyword (in Japanese) (See Japanese page) 
(in English) IoT / Malware / Dynamic Analysis / Machine Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 410, ICSS2021-75, pp. 99-104, March 2022.
Paper # ICSS2021-75 
Date of Issue 2022-02-28 (ICSS) 
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)
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Conference Information
Committee ICSS IPSJ-SPT  
Conference Date 2022-03-07 - 2022-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Security, Trust, etc. 
Paper Information
Registration To ICSS 
Conference Code 2022-03-ICSS-SPT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) ML-based detection of C&C communications for sandbox analysis of IoT malware 
Sub Title (in English)  
Keyword(1) IoT  
Keyword(2) Malware  
Keyword(3) Dynamic Analysis  
Keyword(4) Machine Learning  
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1st Author's Name Yuki Endo  
1st Author's Affiliation Yokohama National University (YNU)
2nd Author's Name Kaichi Sameshima  
2nd Author's Affiliation Yokohama National University (YNU)
3rd Author's Name Rui Tanabe  
3rd Author's Affiliation Yokohama National University (YNU)
4th Author's Name Katsunari Yoshioka  
4th Author's Affiliation Yokohama National University (YNU)
5th Author's Name Tsutomu Matsumoto  
5th Author's Affiliation Yokohama National University (YNU)
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Speaker Author-1 
Date Time 2022-03-08 13:40:00 
Presentation Time 20 minutes 
Registration for ICSS 
Paper # ICSS2021-75 
Volume (vol) vol.121 
Number (no) no.410 
Page pp.99-104 
#Pages
Date of Issue 2022-02-28 (ICSS) 


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