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n-gram解析とOne-Class SVMを用いたIoTボットネットワークの検知手法の提案
http://hdl.handle.net/10458/00010212
http://hdl.handle.net/10458/0001021262186cbb-d99a-493d-8944-6b697d837181
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
本文 (1.6 MB)
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| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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| 公開日 | 2021-06-08 | |||||
| タイトル | ||||||
| タイトル | n-gram解析とOne-Class SVMを用いたIoTボットネットワークの検知手法の提案 | |||||
| 言語 | ja | |||||
| タイトル | ||||||
| タイトル | A Proposal of an IoT Bot Detection Method Using n-gram Analysis and One-Class SVM | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | jpn | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | IoT | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | malware | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | n-gram | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | SVM | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | C&C Server | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | departmental bulletin paper | |||||
| 著者 |
池田, 良磨
× 池田, 良磨× 森, 雅実× 岡崎, 直宣× 山場, 久昭× 油田, 健太郎× 池田, 良磨× 森, 雅実 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | In recent years, IoT(Internet of Things) is expected various field, such as Industry, Medical and etc, with IoT becomes popular. On the other hand, at present, IoT security measures taken by individuals and companies are not enough. And attackers use IoT devices to cause cybercrime. For DDoS(Distributed Denial of Service) attacks, there is a method of simultaneously transmitting packets from various devices by building a botnet. Such botnets are built by devices infected with malware. In addition, malware targeting IoT and building botnet such as ”Mirai” is appearing one after another. We can be expected to suffer severe damage of botnet building malware infected with IoT because most IoT devices are vulnerable and not all general users have security knowledge and are not very interested in security incidents. In this paper, we propose IoT bot detection method using n-gram analysis and One-Class SVM, for the purpose of detecting whether the IoT device is infected so that the user can quickly deal with the malware when an IoT device is infected with malware that builds a botnet. This time, the difference between normal communication and communication with C&C(Command & Control) server when malware is infected is used for bot detection. And analyze packets with n-gram and detect outliers using One-Class SVM. | |||||
| 言語 | en | |||||
| 書誌情報 |
ja : 宮崎大学工学部紀要 en : Memoirs of Faculty of Engineering, University of Miyazaki 巻 49, p. 263-267, 発行日 2020-09-30 |
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| 出版者 | ||||||
| 出版者 | 宮崎大学工学部 | |||||
| 言語 | ja | |||||
| 出版者 | ||||||
| 出版者 | Faculty of Engineering, University of Miyazaki | |||||
| 言語 | en | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 05404924 | |||||
| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA00732558 | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
