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ブロックチェーンベースの協調型マルウェア検知システムの研究
http://hdl.handle.net/10458/00010214
http://hdl.handle.net/10458/00010214f15a9857-91d1-4ecf-9776-c24ce3eda04c
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
本文 (6.2 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 | ブロックチェーンベースの協調型マルウェア検知システムの研究 | |||||
| 言語 | ja | |||||
| タイトル | ||||||
| タイトル | A Study on a Blockchain-based Collaborative Malware Detection System | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | jpn | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | blockchain technology | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | collaborative security | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | collaborative malware detection system | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | smart contract | |||||
| 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 |
藤, 竜成
× 藤, 竜成× 岡崎, 直宣× 山場, 久昭× 油田, 健太郎× 藤, 竜成 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Since malware has a serious adverse effect not only on computers but also on modern society based on the Internet, the detection is important. To prevent malware infection, we usually install anti-virus software developed by anti-virus vendors on our computers. However, generally, we use only single anti-virus software, which is insufficient as a countermeasure for malware. In this study, we propose a collaborative malware detection system that shares information about malware detection results among several anti-virus vendors and performs malware detection using the shared information. Each anti-virus vendor collects its information on malware independently, so it is expected that each anti-virus vendor has a different field of expertise for malware detection. Therefore, if several anti-virus vendors with different fields of expertise share and use information about malware detection results, we believe that malware detection accuracy can be improved. In this study, we propose information sharing of malware detection results among several anti-virus vendors. The information shared by the proposed system is the malware detection results from each anti-virus vendor and is extremely important information that must not be falsified. Therefore, in this study, we adopted blockchain technology as the infrastructure of the information sharing. In the evaluation experiments, we mainly evaluated the malware detection accuracy of the proposed system through simulations. As a result of the evaluation experiment, we confirmed that the malware detection accuracy of the proposed system was significantly improved compared to the malware detection accuracy of a single malware detection system. | |||||
| 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. 275-294, 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 | |||||
