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  1. 学術雑誌論文
  2. 5 技術(工学)

Evaluation of Functional Estimation Methods in IoT Devices at Intervals of a Few Seconds by Communication Traffic Analysis

http://hdl.handle.net/10228/0002001424
http://hdl.handle.net/10228/0002001424
30bae134-8689-450b-bd32-ea2caad6039d
名前 / ファイル ライセンス アクション
10422668.pdf 10422668.pdf (423.2 KB)
アイテムタイプ 共通アイテムタイプ(1)
公開日 2025-03-04
タイトル
タイトル Evaluation of Functional Estimation Methods in IoT Devices at Intervals of a Few Seconds by Communication Traffic Analysis
言語 en
著者 Hattori, Yuichi

× Hattori, Yuichi

en Hattori, Yuichi

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Arakawa, Yutaka

× Arakawa, Yutaka

en Arakawa, Yutaka

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井上, 創造

× 井上, 創造

WEKO 27425
e-Rad_Researcher 90346825
Scopus著者ID 9335840200
九工大研究者情報 140

en Inoue, Sozo

ja 井上, 創造

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著作権関連情報
権利情報Resource https://creativecommons.org/licenses/by/4.0/deed.ja
権利情報 Copyright (c) 2024 Author
This article is licensed under a Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/deed.ja
言語 en
抄録
内容記述タイプ Abstract
内容記述 In recent years, IoT devices have become widespread in households, and IoT devices with various functions are sold and used in various situations. However, current IoT devices are black boxes in operation, and there is no way to detect when an IoT device is communicating in a suspicious manner. Therefore, we are aiming to realize a framework called the IoT activity tracker that has a function of access control, which can detect what kind of communication IoT devices are doing and allow only appropriate communication based on it, and a function that enables users to understand the operation status of IoT devices by visualizing what kind of communication IoT devices are doing. To achieve the IoT activity tracker, it is necessary to estimate the function in a few seconds of communication traffic. In this study, we used 8 models of IoT devices to estimate functions at intervals of a few seconds, and estimated 3 functions, including a state in which nothing is being executed, using features at intervals of 1 second. As a result, it was confirmed that the function could be estimated with an accuracy of 83% or higher for 5 of the 8 models, respectively.
言語 en
備考
内容記述タイプ Other
内容記述 5th International Conference on Activity and Behavior Computing, ABC2023, September 7 - 9, 2023, Kaiserslautern, Germany (Hybrid)
言語 en
書誌情報 en : International Journal of Activity and Behavior Computing

巻 2024, 号 1, p. 5, 発行日 2024-05-09
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_6501
資源タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
識別子タイプ DOI
関連識別子 https://doi.org/10.60401/ijabc.5
ISSN
収録物識別子タイプ EISSN
収録物識別子 2759-2871
研究者情報
URL https://hyokadb02.jimu.kyutech.ac.jp/html/140_ja.html
論文ID(連携)
値 10422668
連携ID
値 12698
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