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IoT Network Intrusion Dataset
- figshare.com
csvUpdated May 24, 2025
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EmailClick to copy linkLink copiedCiteQusay H. Mahmoud; Imtiaz Ullah (2025). IoT Network Intrusion Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.29143829.v2csvAvailable download formatsUnique identifierhttps://doi.org/10.6084/m9.figshare.29143829.v2Dataset updatedMay 24, 2025Dataset provided byfigshareAuthorsQusay H. Mahmoud; Imtiaz UllahLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe exponential growth of the Internet of Things (IoT) devices provides a large attack surface for intruders to launch more destructive cyber-attacks. The intruder aimed to exhaust the target IoT network resources with malicious activity. New techniques and detection algorithms required a well-designed dataset for IoT networks. We proposed a new dataset, namely IoTID20, generated dataset from [1]. The new IoT botnet dataset has a more comprehensive network and flow-based features. The flow-based feature can be used to analyze and evaluate a flow-based intrusion detection system. Our proposed IoT botnet dataset will provide a reference point to identify anomalous activity across the IoT networks. The IoT Botnet dataset can be accessed from [2]. The new IoTID20 dataset will provide a foundation for the development of new intrusion detection techniques in IoT networks.
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IoTID20
- huggingface.co
ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMaruf Islam, IoTID20 [Dataset]. https://huggingface.co/datasets/maruuf/IoTID20AuthorsMaruf IslamLicenseMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automaticallyDescriptionmaruuf/IoTID20 dataset hosted on Hugging Face and contributed by the HF Datasets community
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IoT network intrusion dataset
- ieee-dataport.org
Updated Sep 27, 2019ShareFacebookTwitterEmailClick to copy linkLink copiedCiteHuy Kang Kim (2019). IoT network intrusion dataset [Dataset]. https://ieee-dataport.org/open-access/iot-network-intrusion-datasetDataset updatedSep 27, 2019AuthorsHuy Kang KimLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionincluding some laptops or smart phones
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IoT-ID20-DiFL
- huggingface.co
Updated Jun 17, 2025+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteViệt Huy Dương (2025). IoT-ID20-DiFL [Dataset]. https://huggingface.co/datasets/Ben11304/IoT-ID20-DiFLDataset updatedJun 17, 2025AuthorsViệt Huy DươngDescriptionBen11304/IoT-ID20-DiFL dataset hosted on Hugging Face and contributed by the HF Datasets community
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FacebookTwitterEmailAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The exponential growth of the Internet of Things (IoT) devices provides a large attack surface for intruders to launch more destructive cyber-attacks. The intruder aimed to exhaust the target IoT network resources with malicious activity. New techniques and detection algorithms required a well-designed dataset for IoT networks. We proposed a new dataset, namely IoTID20, generated dataset from [1]. The new IoT botnet dataset has a more comprehensive network and flow-based features. The flow-based feature can be used to analyze and evaluate a flow-based intrusion detection system. Our proposed IoT botnet dataset will provide a reference point to identify anomalous activity across the IoT networks. The IoT Botnet dataset can be accessed from [2]. The new IoTID20 dataset will provide a foundation for the development of new intrusion detection techniques in IoT networks.