WEKO3
アイテム
Hardening the Security of Multi-Access Edge Computing through Bio-Inspired VM Introspection
http://hdl.handle.net/10228/00008551
http://hdl.handle.net/10228/0000855176dfe083-407d-4bd4-909a-6b0bdd5a67ac
| 名前 / ファイル | ライセンス | アクション |
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RECN_2021-20.pdf (881.1 kB)
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| アイテムタイプ | 学術雑誌論文 = Journal Article(1) | |||||||||||||
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| 公開日 | 2021-11-16 | |||||||||||||
| 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 | journal article | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | Hardening the Security of Multi-Access Edge Computing through Bio-Inspired VM Introspection | |||||||||||||
| 言語 | en | |||||||||||||
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| 言語 | eng | |||||||||||||
| 著者 |
Huseynov, Huseyn
× Huseynov, Huseyn× Saadawi, Tarek× 光来, 健一
WEKO
20772
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| 抄録 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | The extreme bandwidth and performance of 5G mobile networks changes the way we develop and utilize digital services. Within a few years, 5G will not only touch technology and applications, but dramatically change the economy, our society and individual life. One of the emerging technologies that enables the evolution to 5G by bringing cloud capabilities near to the end users is Edge Computing or also known as Multi-Access Edge Computing (MEC) that will become pertinent towards the evolution of 5G. This evolution also entails growth in the threat landscape and increase privacy in concerns at different application areas, hence security and privacy plays a central role in the evolution towards 5G. Since MEC application instantiated in the virtualized infrastructure, in this paper we present a distributed application that aims to constantly introspect multiple virtual machines (VMs) in order to detect malicious activities based on their anomalous behavior. Once suspicious processes detected, our IDS in real-time notifies system administrator about the potential threat. Developed software is able to detect keyloggers, rootkits, trojans, process hiding and other intrusion artifacts via agent-less operation, by operating remotely or directly from the host machine. Remote memory introspection means no software to install, no notice to malware to evacuate or destroy data. Experimental results of remote VMI on more than 50 different malicious code demonstrate average anomaly detection rate close to 97%. We have established wide testbed environment connecting networks of two universities Kyushu Institute of Technology and The City College of New York through secure GRE tunnel. Conducted experiments on this testbed deliver high response time of the proposed system. | |||||||||||||
| 言語 | en | |||||||||||||
| 書誌情報 |
en : Big Data and Cognitive Computing 巻 5, 号 4, p. 52-1-52-21, 発行日 2021-10-08 |
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| 出版者 | MDPI | |||||||||||||
| DOI | ||||||||||||||
| 関連タイプ | isIdenticalTo | |||||||||||||
| 識別子タイプ | DOI | |||||||||||||
| 関連識別子 | https://doi.org/10.3390/bdcc5040052 | |||||||||||||
| ISSN | ||||||||||||||
| 収録物識別子タイプ | EISSN | |||||||||||||
| 収録物識別子 | 2504-2289 | |||||||||||||
| 著作権関連情報 | ||||||||||||||
| 権利情報 | Copyright (c) 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | security and privacy | |||||||||||||
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| 主題Scheme | Other | |||||||||||||
| 主題 | virtualization | |||||||||||||
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| 主題Scheme | Other | |||||||||||||
| 主題 | intrusion detection | |||||||||||||
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| 主題Scheme | Other | |||||||||||||
| 主題 | artificial immune system | |||||||||||||
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| 主題Scheme | Other | |||||||||||||
| 主題 | virtual machine introspection | |||||||||||||
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| 主題Scheme | Other | |||||||||||||
| 主題 | cloud security | |||||||||||||
| 出版タイプ | ||||||||||||||
| 出版タイプ | VoR | |||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||
| 査読の有無 | ||||||||||||||
| 値 | yes | |||||||||||||
| 連携ID | ||||||||||||||
| 値 | 9780 | |||||||||||||
