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Paper Abstract and Keywords
Presentation 2022-06-24 11:50
Studies on Blacklists based DNS Query Analysis for Malicious Domain Detection
Hiroto Yamada, Daiki Nobayashi, Takeshi Ikenaga (Kyutech) IA2022-14 ICSS2022-14
Abstract (in Japanese) (See Japanese page) 
(in English) Malware infection of network users is one of the critical threats on the Internet. Users have a risk of being infected with malware in various ways, such as through email attachments, browsing websites, and clicking on web advertisements. A major countermeasure for malware infection is a signature-type detection method that uses a blacklist to block communication with a C&C server that the malware accesses for malicious attacks. However, if the C&C server is an unknown malicious domain name not included in the blacklist, the countermeasure cannot be effective. Furthermore, malware is on the rise every day, so the unknown malicious domain names have been increasing.
This paper focuses on the DNS query logs of malware-infected devices and proposes an unknown malicious domain name detection method using the access history of network users. We aim to detect an unknown malicious domains name using machine learning to analyze the access history of DNS queries of malware-infected devices. In this study, to evaluate the effectiveness of the proposed method, we verify the detection performance of unknown malicious domain names using actual DNS query logs.
Keyword (in Japanese) (See Japanese page) 
(in English) DNSquery / Machine Learning / malware / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 85, IA2022-14, pp. 76-80, June 2022.
Paper # IA2022-14 
Date of Issue 2022-06-16 (IA, ICSS) 
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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IA2022-14 ICSS2022-14

Conference Information
Committee IA ICSS  
Conference Date 2022-06-23 - 2022-06-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. of Nagasaki 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Security, etc. 
Paper Information
Registration To IA 
Conference Code 2022-06-IA-ICSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Studies on Blacklists based DNS Query Analysis for Malicious Domain Detection 
Sub Title (in English)  
Keyword(1) DNSquery  
Keyword(2) Machine Learning  
Keyword(3) malware  
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1st Author's Name Hiroto Yamada  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
2nd Author's Name Daiki Nobayashi  
2nd Author's Affiliation Kyushu Institute of Technology (Kyutech)
3rd Author's Name Takeshi Ikenaga  
3rd Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker
Date Time 2022-06-24 11:50:00 
Presentation Time 25 
Registration for IA 
Paper # IA2022-14, ICSS2022-14 
Volume (vol) 122 
Number (no) no.85(IA), no.86(ICSS) 
Page pp.76-80 
#Pages
Date of Issue 2022-06-16 (IA, ICSS) 


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