Dataset Open Access

# Netflow data without sampling for training (D1)

### Citation Style Language JSON Export

{
"publisher": "Zenodo",
"DOI": "10.5281/zenodo.4106730",
"author": [
{
"family": "Ignacio"
},
{
}
],
"issued": {
"date-parts": [
[
2020,
10,
19
]
]
},
"abstract": "<p>NetFlow traffic generated using&nbsp;<strong>DOROTHEA</strong>&nbsp;(<strong>DO</strong>cker-based f<strong>R</strong>amework f<strong>O</strong>r ga<strong>TH</strong>ering n<strong>E</strong>tflow tr<strong>A</strong>ffic)</p>\n\n<p>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.</p>\n\n<p>NetFlow flows have been captured without 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.</p>\n\n<p>The version of NetFlow used to build the datasets is 5.</p>\n\n<p>In the construction of the datasets, different percentages of flows considered attacks and flows considered normal traffic have been used.</p>\n\n<p>These datasets have been used to train machine learning models.</p>",
"title": "Netflow data without sampling for training (D1)",
"type": "dataset",
"id": "4106730"
}
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