IoT-23: A labeled dataset with malicious and benign IoT network traffic
Abstract
"IoT-23 provides labeled IoT network-traffic captures, including 20 malware scenarios and 3 benign IoT captures, intended to support machine-learning research on IoT security."
Description
IoT-23 is a dataset of network traffic from Internet of Things (IoT) devices, including 20 malware captures and 3 benign IoT captures.
It was first published in January 2020 (captures range 2018–2019) and was collected in the Stratosphere Laboratory (CTU in Prague) to support research on labeled IoT malware infections and benign traffic; the work was funded by Avast Software.
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Cite This Dataset
Garcia, S., Parmisano, A., & Erquiaga, M. J. (2020). IoT-23: A labeled dataset with malicious and benign IoT network traffic. [Dataset]. {Zenodo. https://doi.org/10.5281/zenodo.4743746
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Original source: {Zenodo (2020). Visit official page for more details.
Indexed by IoTDataset.com on Feb 08, 2026
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