| アイテムタイプ |
学術雑誌論文 = Journal Article(1) |
| 公開日 |
2024-01-12 |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| タイトル |
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|
タイトル |
Unknown Malicious Domain Detection based on DNS Query Analysis using Word2Vec |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 著者 |
Yamada, Hiroto
野林, 大起
佐藤, 彰洋
中村, 豊
池永, 全志
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
Malware infection of network user devices is a critical threat to users on the Internet. A major countermeasure against malware infection is a signature-type detection method that uses a blacklist to prevent communication with a Command and Control (C&C) server when the malware attempts a malicious attack. However, if the malicious domain name is unknown to the C&C server, it is difficult for this method to detect the malware. This paper focuses on the behavior of devices infected with malware. We propose a method for unknown malicious domain detection based on domain name system (DNS) query analysis using Word2Vec, a popular machine learning method. We then evaluate the effectiveness of our proposed method using an actual DNS Query log. |
|
言語 |
en |
| 備考 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
The 2022 International Conference on Computational Science and Computational Intelligence (CSCI 2022), December 14-16, 2022, Las Vegas, USA |
|
言語 |
en |
| 書誌情報 |
en : 2022 International Conference on Computational Science and Computational Intelligence (CSCI)
p. 1096-1097,
発行日 2023-08-25
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| 出版社 |
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出版者 |
IEEE |
| DOI |
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|
関連タイプ |
isVersionOf |
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|
識別子タイプ |
DOI |
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|
関連識別子 |
https://doi.org/10.1109/CSCI58124.2022.00196 |
| ISBN |
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識別子タイプ |
ISBN |
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関連識別子 |
979-8-3503-2028-2 |
| ISBN |
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|
識別子タイプ |
ISBN |
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|
関連識別子 |
979-8-3503-2029-9 |
| ISSN |
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|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
2769-5654 |
| ISSN |
|
|
収録物識別子タイプ |
PISSN |
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収録物識別子 |
2769-5670 |
| 著作権関連情報 |
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|
権利情報 |
Copyright (c) 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| 出版タイプ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 査読の有無 |
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|
値 |
yes |
| 研究者情報 |
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|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/81_ja.html |
csci2022-cr-yamada.pdf (455 KB)
