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A Classification of Intrusion Detection Systems in the Cloud
https://ipsj.ixsq.nii.ac.jp/records/142343
https://ipsj.ixsq.nii.ac.jp/records/1423435263e8d2-cac0-494f-bdcb-e18c97e35f7a
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-JNL5606003 (326.6 kB)
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Copyright (c) 2015 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Journal(1) | |||||||||
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| 公開日 | 2015-06-15 | |||||||||
| タイトル | ||||||||||
| タイトル | A Classification of Intrusion Detection Systems in the Cloud | |||||||||
| タイトル | ||||||||||
| 言語 | en | |||||||||
| タイトル | A Classification of Intrusion Detection Systems in the Cloud | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | [特集：Applications and the Internet in Conjunction with Main Topics of COMPSAC 2014（招待論文）] cloud security, intrusion detection | |||||||||
| 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 | |||||||||
| 著者所属 | ||||||||||
| School of Computing, Queen's University | ||||||||||
| 著者所属 | ||||||||||
| School of Computing, Queen's University | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| School of Computing, Queen's University | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| School of Computing, Queen's University | ||||||||||
| 著者名 |
Marwa, Elsayed
× Marwa, Elsayed
× Mohammad, Zulkernine
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| 著者名(英) |
Marwa, Elsayed
× Marwa, Elsayed
× Mohammad, Zulkernine
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Security is one of the most prominent challenges that hinder the acceleration of cloud adoption. Intrusion detection systems (IDSs) can be used to increase the security level of cloud environments. Therefore, the effectiveness of the IDS is a crucial issue for cloud security. However, the cloud presents new challenges and requirements, including scalability and adaptability, which effective IDSs need to address. Choosing the right deployment architecture significantly impacts the effectiveness of IDSs in the cloud. Additionally, robust IDSs need novel detection techniques to keep up with modern sophisticated attacks that target cloud environments. Hence, it is important to understand the advantages and limitations of different IDSs and how the deployment choice in cloud environments impacts the IDSs' effectiveness. This paper presents a novel classification scheme of the state-of-the-art of intrusion detection approaches in the cloud. This classification sheds light on the existing approaches with respect to the following aspects: deployment architecture and detection technique. We first classify the existing approaches based on their deployment architectures. Then, we present a comparative analysis of these approaches with respect to the detection techniques. We also provide detailed analysis of the strengths and weaknesses of existing approaches. The classification and analysis will help in the selection of the proper deployment architectures and detection techniques of IDSs in cloud environments. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.23(2015) No.4 (online) ------------------------------ |
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| 論文抄録(英) | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Security is one of the most prominent challenges that hinder the acceleration of cloud adoption. Intrusion detection systems (IDSs) can be used to increase the security level of cloud environments. Therefore, the effectiveness of the IDS is a crucial issue for cloud security. However, the cloud presents new challenges and requirements, including scalability and adaptability, which effective IDSs need to address. Choosing the right deployment architecture significantly impacts the effectiveness of IDSs in the cloud. Additionally, robust IDSs need novel detection techniques to keep up with modern sophisticated attacks that target cloud environments. Hence, it is important to understand the advantages and limitations of different IDSs and how the deployment choice in cloud environments impacts the IDSs' effectiveness. This paper presents a novel classification scheme of the state-of-the-art of intrusion detection approaches in the cloud. This classification sheds light on the existing approaches with respect to the following aspects: deployment architecture and detection technique. We first classify the existing approaches based on their deployment architectures. Then, we present a comparative analysis of these approaches with respect to the detection techniques. We also provide detailed analysis of the strengths and weaknesses of existing approaches. The classification and analysis will help in the selection of the proper deployment architectures and detection techniques of IDSs in cloud environments. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.23(2015) No.4 (online) ------------------------------ |
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| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AN00116647 | |||||||||
| 書誌情報 |
情報処理学会論文誌 巻 56, 号 6, 発行日 2015-06-15 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 1882-7764 | |||||||||
