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N-BaIoT
- ieee-dataport.org
Updated Apr 26, 2025
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EmailClick to copy linkLink copiedCiteHaolei Chen (2025). N-BaIoT [Dataset]. https://ieee-dataport.org/documents/n-baiot-0Dataset updatedApr 26, 2025AuthorsHaolei ChenLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe proliferation of IoT devices which can be more easily compromised than desktop computers has led to an increase in the occurrence of IoT-based botnet attacks. In order to mitigate this new threat there is a need to develop new methods for detecting attacks launched from compromised IoT devices and differentiate between hour and millisecond long IoT-based attacks.
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N-BaIoT
- huggingface.co
Updated Mar 19, 2018ShareFacebookTwitterEmailClick to copy linkLink copiedCiteRakesh Biswas (2018). N-BaIoT [Dataset]. https://huggingface.co/datasets/rakeshb4r/N-BaIoTCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMar 19, 2018AuthorsRakesh BiswasDescriptionDetection of IoT Botnet Attacks
N-BaIoT dataset Abstract:This dataset addresses the lack of public botnet datasets, especially for the IoT. It suggests real traffic data, gathered from 9 commercial IoT devices authentically infected by Mirai and BASHLITE.
Dataset Characteristics:Multivariate, Sequential Number of Instances: 7062606 Area: Computer Attribute Characteristics: Real Number of Attributes: 115 Date Donated: 2018-03-19 Associated Tasks:… See the full description on the dataset page: https://huggingface.co/datasets/rakeshb4r/N-BaIoT.
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The N-BaIoT dataset’s specific features [79].
- plos.figshare.com
xlsUpdated Jun 21, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAhmed Bahaa; Abdalla Sayed; Laila Elfangary; Hanan Fahmy (2023). The N-BaIoT dataset’s specific features [79]. [Dataset]. http://doi.org/10.1371/journal.pone.0278493.t001xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0278493.t001Dataset updatedJun 21, 2023Dataset provided byPLOS ONEAuthorsAhmed Bahaa; Abdalla Sayed; Laila Elfangary; Hanan FahmyLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe N-BaIoT dataset’s specific features [79].
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FacebookTwitterEmailAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The proliferation of IoT devices which can be more easily compromised than desktop computers has led to an increase in the occurrence of IoT-based botnet attacks. In order to mitigate this new threat there is a need to develop new methods for detecting attacks launched from compromised IoT devices and differentiate between hour and millisecond long IoT-based attacks.