WEKO3
アイテム
Evaluation of countermeasure against future malware evolution with deterministic modeling
http://hdl.handle.net/10112/00017626
http://hdl.handle.net/10112/000176266bb5b79b-4547-46b2-a580-e0f078555c7c
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
KU-1100-20191100-00.pdf (327.4 kB)
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| Item type | 会議発表論文 / Conference Paper(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2019-10-01 | |||||||||
| タイトル | ||||||||||
| タイトル | Evaluation of countermeasure against future malware evolution with deterministic modeling | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||
| 資源タイプ | conference paper | |||||||||
| 著者 |
Shimizu, Koki
× Shimizu, Koki× Kumai, Yuya× 本仲, 君子
WEKO
34700
× Kimura, Tomotaka× Hirata, Kouji |
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| 著者別名 | ||||||||||
| 識別子Scheme | WEKO | |||||||||
| 識別子 | 34703 | |||||||||
| 姓名 | 清水, 浩毅 | |||||||||
| 著者別名 | ||||||||||
| 識別子Scheme | WEKO | |||||||||
| 識別子 | 34704 | |||||||||
| 姓名 | 熊井, 雄野 | |||||||||
| 著者別名 | ||||||||||
| 識別子Scheme | WEKO | |||||||||
| 識別子 | 34746 | |||||||||
| 姓名 | 本仲, 君子 | |||||||||
| 著者別名 | ||||||||||
| 識別子Scheme | WEKO | |||||||||
| 識別子 | 34747 | |||||||||
| 姓名 | 木村, 共孝 | |||||||||
| 著者別名 | ||||||||||
| 識別子Scheme | WEKO | |||||||||
| 識別子 | 34748 | |||||||||
| 姓名 | 平田, 孝志 | |||||||||
| 概要 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Recently, machine learning technologies have dramatically evolved. Accordingly, the concept of self-evolving botnets has been introduced, which discover vulnerabilities of hosts by distributed machine learning using the computational resources of infected hosts, and infect other hosts by attacks using the discovered vulnerabilities. The infectability of the self-evolving botnets is too strong compared with conventional botnets, so that such new botnets will become the serious threat to future network society including 5G and IoT environments. In this paper, we consider a volunteer model that discovers unknown vulnerabilities earlier than self-evolving botnets by distributed computing using volunteer hosts’ resources and repairs the vulnerabilities. We propose deterministic modeling for the volunteer model. Through numerical calculations, we evaluate the performance of the volunteer model against self-evolving botnets. | |||||||||
| 内容記述 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | This is a product of research which was financially supported by the Kansai University Fund for Supporting Young Scholars, 2018, "Design of anti-malware systems against future malware evolution". This research was partially supported by The Telecommunications Advancement Foundation, Japan. | |||||||||
| 会議概要（会議名, 開催地, 会期, 主催者等） | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2019), November 18-21, 2019, Lanzhou, China | |||||||||
| 発表年月日 | ||||||||||
| 日付 | 2019-11 | |||||||||
| 日付タイプ | Created | |||||||||
| 著者版フラグ | ||||||||||
| 出版タイプ | AM | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | 関西大学 | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | Kansai University | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | 関西大学若手研究者育成経費 | |||||||||
