Dataset Open Access

Netflow data without sampling for training (D1)

Ignacio; Adrian

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  "description": "<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>", 
  "license": "", 
  "creator": [
      "@id": "", 
      "@type": "Person", 
      "name": "Ignacio"
      "@id": "", 
      "@type": "Person", 
      "name": "Adrian"
  "url": "", 
  "datePublished": "2020-10-19", 
  "keywords": [
    "Network traffic", 
    "Network attacks"
  "@context": "", 
  "distribution": [
      "contentUrl": "", 
      "encodingFormat": "csv", 
      "@type": "DataDownload"
  "identifier": "", 
  "@id": "", 
  "@type": "Dataset", 
  "name": "Netflow data without sampling for training (D1)"
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