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Paper Abstract and Keywords
Presentation 2021-03-02 10:00
Evaluation of Uncertain Reports by Multiple Anti-virus Engines
Kazuya Nomura (Waseda Univ.), Mistuaki Akiyama (NTT), Masaki Kamizono (Deloitte Tohmatsu Cyber LLC), Takahiro Kasama (NICT) ICSS2020-56
Abstract (in Japanese) (See Japanese page) 
(in English) VirusTotal is an online service that provides detection results from multiple anti-virus engines. It is used in a wide range of applications such as corporate security operations and labeling of malware data for research. However, the detection results of anti-virus engines do not always provide correct information, especially for malware that has not yet been sufficiently analyzed, and the detection results may change over time. Also, since each anti-virus engine may miss malware or detect legitimate files incorrectly, it is necessary to understand and consider the uncertainty of detection results when using VirusTotal. In this study, we collected the detection results of 2,037 malware that registered in VirusTotal over a period of four months (301,685 reports in total) and analyzed these long-term detection results to understand the change in the number of detections over time. Through this analysis, we evaluate the uncertainty of detection results. Furthermore, based on the results, we propose a method to obtain threat information from VirusTotal more accurately and efficiently.
Keyword (in Japanese) (See Japanese page) 
(in English) VirusTotal / Malware / Anti-virus Engines / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 384, ICSS2020-56, pp. 178-183, March 2021.
Paper # ICSS2020-56 
Date of Issue 2021-02-22 (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 2021-03-01 - 2021-03-02 
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 2021-03-ICSS-SPT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of Uncertain Reports by Multiple Anti-virus Engines 
Sub Title (in English)  
Keyword(1) VirusTotal  
Keyword(2) Malware  
Keyword(3) Anti-virus Engines  
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1st Author's Name Kazuya Nomura  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Mistuaki Akiyama  
2nd Author's Affiliation NTT Secure Platform Laboratories (NTT)
3rd Author's Name Masaki Kamizono  
3rd Author's Affiliation Deloitte Tohmatsu Cyber LLC (Deloitte Tohmatsu Cyber LLC)
4th Author's Name Takahiro Kasama  
4th Author's Affiliation National Institute of Information and Communications Technology (NICT)
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Speaker Author-1 
Date Time 2021-03-02 10:00:00 
Presentation Time 25 minutes 
Registration for ICSS 
Paper # ICSS2020-56 
Volume (vol) vol.120 
Number (no) no.384 
Page pp.178-183 
#Pages 6 
Date of Issue 2021-02-22 (ICSS) 

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