- g
Dataset of legitimate IoT data | gimi9.com
- gimi9.com
Updated Oct 23, 2021
Share
Facebook
Twitter
EmailClick to copy linkLink copiedCite(2021). Dataset of legitimate IoT data | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_617290e5562ea455d3d3ab0d/Dataset updatedOct 23, 2021DescriptionThis dataset presents the IoT network traffic generated by connected objects. In order to understand and characterise the legitimate behaviour of network traffic, a platform is created to generate IoT traffic under realistic conditions. This platform contains different IoT devices: voice assistants, smart cameras, connected printers, connected light bulbs, motion sensors, etc. Then, a set of interactions with these objects is performed to allow the generation of real traffic. This data is used to identify anomalies and intrusions using machine learning algorithms and to improve existing detection models. Our dataset is available in two formats: PCAP and csv and was created as part of the EU CEF Variot project https://variot.eu. To download the data in pcap format and for more information, our database is available on this web portal: https://www.variot.telecom-sudparis.eu/
- d
Dataset of legitimate IoT data
- data.gouv.fr
csvUpdated Dec 9, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteTélécom SudParis (2022). Dataset of legitimate IoT data [Dataset]. https://www.data.gouv.fr/en/datasets/dataset-of-legitimate-iot-data/csv(21433048), csv(19670453), csv(20178551), csv(20567664), csv(20263943), csv(20451059), csv(20997417), csv(20585580), csv(20366938), csv(20227271), csv(20957206), csv(21768881), csv(20485613), csv(20584090), csv(20214687), csv(21673237), csv(20490473), csv(20620148), csv(20775395), csv(20106659)Available download formatsDataset updatedDec 9, 2022Dataset authored and provided byTélécom SudParisLicensehttp://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa
DescriptionThis dataset presents the IoT network traffic generated by connected objects. In order to understand and characterise the legitimate behaviour of network traffic, a platform is created to generate IoT traffic under realistic conditions. This platform contains different IoT devices: voice assistants, smart cameras, connected printers, connected light bulbs, motion sensors, etc. Then, a set of interactions with these objects is performed to allow the generation of real traffic. This data is used to identify anomalies and intrusions using machine learning algorithms and to improve existing detection models. Our dataset is available in two formats: pcap and csv and was created as part of the EU CEF VARIoT project https://variot.eu. To download the data in pcap format and for more information, our database is available on this web portal : https://www.variot.telecom-sudparis.eu/.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
FacebookTwitterEmailThis dataset presents the IoT network traffic generated by connected objects. In order to understand and characterise the legitimate behaviour of network traffic, a platform is created to generate IoT traffic under realistic conditions. This platform contains different IoT devices: voice assistants, smart cameras, connected printers, connected light bulbs, motion sensors, etc. Then, a set of interactions with these objects is performed to allow the generation of real traffic. This data is used to identify anomalies and intrusions using machine learning algorithms and to improve existing detection models. Our dataset is available in two formats: PCAP and csv and was created as part of the EU CEF Variot project https://variot.eu. To download the data in pcap format and for more information, our database is available on this web portal: https://www.variot.telecom-sudparis.eu/