Machine Learning-Based Stealing Attack of the Temperature Monitoring System for the Energy Internet of Things Article Swipe
Qiong Li
,
Liqiang Zhang
,
Rui Zhou
,
Yaowen Xia
,
Wenfeng Gao
,
Yonghang Tai
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/6661954
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/6661954
With the development of the Energy Internet of Things (EIoT), it is of great practical significance to study the security strategy and intelligent control system for solar thermal utilization system to optimize the operation efficiency and carry out intelligent dynamic adjustment. For buildings integrated with solar water heating systems, computational fluid dynamics simulation was used in analyzing the process of solar energy output. A method based on machine learning is proposed to predict energy conversion. Besides, the simulation and analysis are carried out in combination with the possible safety problems such as the vibration of the control system. This paper proposed a novel platform of EIoT for machine learning-based cybersecurity study and implemented the platform for the temperature monitoring system. After the evaluation of the machine learning-based cybersecurity study, the EIoT system demonstrated a high performance with the Extreme Gradient Boosting (XGBoost) training algorithm.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2021/6661954
- https://downloads.hindawi.com/journals/scn/2021/6661954.pdf
- OA Status
- hybrid
- Cited By
- 6
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3137669578
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W3137669578Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2021/6661954Digital Object Identifier
- Title
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Machine Learning-Based Stealing Attack of the Temperature Monitoring System for the Energy Internet of ThingsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-03-24Full publication date if available
- Authors
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Qiong Li, Liqiang Zhang, Rui Zhou, Yaowen Xia, Wenfeng Gao, Yonghang TaiList of authors in order
- Landing page
-
https://doi.org/10.1155/2021/6661954Publisher landing page
- PDF URL
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https://downloads.hindawi.com/journals/scn/2021/6661954.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://downloads.hindawi.com/journals/scn/2021/6661954.pdfDirect OA link when available
- Concepts
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Computer science, Internet of Things, Process (computing), The Internet, Artificial intelligence, Energy (signal processing), Computer security, Real-time computing, Operating system, Mathematics, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2022: 3, 2021: 1Per-year citation counts (last 5 years)
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27Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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