Dataset Open Access

Netflow data without sampling for training (D1)

Ignacio; Adrian


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4106730", 
  "author": [
    {
      "family": "Ignacio"
    }, 
    {
      "family": "Adrian"
    }
  ], 
  "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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