Netflow data with sampling for training

Netflow traffic generated using DOROTHEA (__DO__cker-based f__R__amework f__O__r ga__TH__ering n__E__tflow tr__A__ffic)

NetFlow is a network protocol developed by Cisco for the collection and monitoring of network traffic flow data generated. A flow is defined as a unidirectional sequence of packets with some common properties that pass through a network device.

Netflow flows have been captured by sampling at the packet level. A sampling means that 1 out of every X packets is selected to be flow while the rest of the packets are not valued.

In the construction of the datasets, different percentages of flows considered attacks and flows considered normal traffic have been used.

These datasets have been used to train machine learning models.

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Campo Valor
Autor Angel Manuel Guerrero-Higueras
Versión 0.1
Última actualización octubre 1, 2020, 13:27 (CEST)
Creado julio 29, 2020, 11:54 (CEST)