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A Linux Audit and MQTT based Monitoring Framework for IoT Devices and Its Evaluation
https://ipsj.ixsq.nii.ac.jp/records/238001
https://ipsj.ixsq.nii.ac.jp/records/2380011d390bd4-b54b-4a2c-8211-af861208446c
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
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2026年8月15日からダウンロード可能です。
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Copyright (c) 2024 by the Information Processing Society of Japan
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| 非会員:¥0, IPSJ:学会員:¥0, 論文誌:会員:¥0, DLIB:会員:¥0 | ||
| Item type | Journal(1) | |||||||||||
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| 公開日 | 2024-08-15 | |||||||||||
| タイトル | ||||||||||||
| タイトル | A Linux Audit and MQTT based Monitoring Framework for IoT Devices and Its Evaluation | |||||||||||
| タイトル | ||||||||||||
| 言語 | en | |||||||||||
| タイトル | A Linux Audit and MQTT based Monitoring Framework for IoT Devices and Its Evaluation | |||||||||||
| 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 the Main Topics of COMPSAC 2023] IoT, Audit, MQTT, monitoring framework, overhead evaluation, cgroups, CPU isolation, scheduling | |||||||||||
| 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 | ||||||||||||
| National Institute of Informatics | ||||||||||||
| 著者所属 | ||||||||||||
| National Institute of Informatics/The Graduate Universty for Advanced Studies (SOKENDAI) | ||||||||||||
| 著者所属 | ||||||||||||
| National Institute of Informatics/The Graduate Universty for Advanced Studies (SOKENDAI) | ||||||||||||
| 著者所属(英) | ||||||||||||
| en | ||||||||||||
| National Institute of Informatics | ||||||||||||
| 著者所属(英) | ||||||||||||
| en | ||||||||||||
| National Institute of Informatics / The Graduate Universty for Advanced Studies (SOKENDAI) | ||||||||||||
| 著者所属(英) | ||||||||||||
| en | ||||||||||||
| National Institute of Informatics / The Graduate Universty for Advanced Studies (SOKENDAI) | ||||||||||||
| 著者名 |
Jie, Yin
× Jie, Yin
× Yutaka, Ishikawa
× Atsuko, Takefusa
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| 著者名(英) |
Jie, Yin
× Jie, Yin
× Yutaka, Ishikawa
× Atsuko, Takefusa
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| 論文抄録 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | Cybersecuity has always been a challenging topic along with the accelerating growth in the number of connected Internet of Things (IoT) devices and their heterogeneity. System monitoring as one of the predominant security hardening approaches are often introduced to IoT systems for detecting anomaly activities and ongoing intrusion. System auditing is one of the fundamental approaches for implementing such systems. However, most of the existing monitoring techniques for IoT systems heavily rely on network traffic analysis. In the previous work, we emphasized the device endpoint itself, proposed a flexible and extensible monitoring framework for Linux-based IoT systems, and presented the feasibility and performance evaluation of the framework by implementing a monitoring prototype and an IoT application simulating real-world surveillance scenario on an ARM device. In this work, we further improved the implementation of the monitoring prototype and introduced Linux control groups, a.k.a cgroups for meticulous resource management between the monitoring components and the application processes. By conducting a series of comparative evaluation experiments under different CPU isolation and scheduling methods, our experiment results showcased the significance of the CPU isolation and process scheduling methods in terms of performance, and the minimal overhead cost of the proposed monitoring framework on IoT device. ------------------------------ 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.32(2024) (online) DOI http://dx.doi.org/10.2197/ipsjjip.32.586 ------------------------------ |
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| 論文抄録(英) | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | Cybersecuity has always been a challenging topic along with the accelerating growth in the number of connected Internet of Things (IoT) devices and their heterogeneity. System monitoring as one of the predominant security hardening approaches are often introduced to IoT systems for detecting anomaly activities and ongoing intrusion. System auditing is one of the fundamental approaches for implementing such systems. However, most of the existing monitoring techniques for IoT systems heavily rely on network traffic analysis. In the previous work, we emphasized the device endpoint itself, proposed a flexible and extensible monitoring framework for Linux-based IoT systems, and presented the feasibility and performance evaluation of the framework by implementing a monitoring prototype and an IoT application simulating real-world surveillance scenario on an ARM device. In this work, we further improved the implementation of the monitoring prototype and introduced Linux control groups, a.k.a cgroups for meticulous resource management between the monitoring components and the application processes. By conducting a series of comparative evaluation experiments under different CPU isolation and scheduling methods, our experiment results showcased the significance of the CPU isolation and process scheduling methods in terms of performance, and the minimal overhead cost of the proposed monitoring framework on IoT device. ------------------------------ 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.32(2024) (online) DOI http://dx.doi.org/10.2197/ipsjjip.32.586 ------------------------------ |
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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 65, 号 8, 発行日 2024-08-15 |
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| ISSN | ||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||
| 収録物識別子 | 1882-7764 | |||||||||||
| 公開者 | ||||||||||||
| 言語 | ja | |||||||||||
| 出版者 | 情報処理学会 | |||||||||||