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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 |
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| 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. |
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| 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 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) | |
| Download PDF | IA2022-14 ICSS2022-14 |
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| 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 | 1 |
| 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 | 5 |
| Date of Issue | 2022-06-16 (IA, ICSS) |
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