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Intrusion Detection in Internet of Things Systems: A Review on Design Approaches Leveraging Multi-Access Edge Computing, Machine Learning, and Datasets.

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第一作者： Eric,Gyamfi

第一单位： School of Computer Science, University College Dublin, D04 V1W8 Dublin, Ireland.

作者： Eric,Gyamfi ^[1] ; Anca,Jurcut ^[1]

作者单位： School of Computer Science, University College Dublin, D04 V1W8 Dublin, Ireland. ^[1]

关键词 Internet of Things IoT device anomaly systems distributed NIDS machine learning multi-access edge computing network intrusion detection system offloading

DOI 10.3390/s22103744

PMID 35632153

发布时间 2022-07-16

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2022年22卷10期

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Intrusion Detection in Internet of Things Systems: A Review on Design Approaches Leveraging Multi-Access Edge Computing, Machine Learning, and Datasets.

Sensors (Basel, Switzerland)

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Sensors (Basel, Switzerland)

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Intrusion Detection in Internet of Things Systems: A Review on Design Approaches Leveraging Multi-Access Edge Computing, Machine Learning, and Datasets.

Sensors (Basel, Switzerland)

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同项目论文

Sensors (Basel, Switzerland)

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