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ce9cac802b06543f23be · Method for Effective Measurement, Labeling, and Classification of Botnet C2s for Predicting Attacks

Method for Effective Measurement, Labeling, and Classification of Botnet C2s for Predicting Attacks

In the IoT era, botnet threats are rising, which has prompted many studies on botnet detection. This study aims to detect the early signs of botnet attacks such as massive spam emails and Distributed Denial-of-Service attacks. To that end, this study

Официальный источник · 2020-02-23

Полные импортированные сведения карточки
{
  "title_en": "Method for Effective Measurement, Labeling, and Classification of Botnet C2s for Predicting Attacks",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2020-02-23",
  "date_original": "February 23, 2020",
  "url": "https://www.nist.gov/publications/method-effective-measurement-labeling-and-classification-botnet-c2s-predicting-attacks",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Mitsuhiro Hatada , Matthew A. Scholl",
  "abstract_excerpt_en": "In the IoT era, botnet threats are rising, which has prompted many studies on botnet detection. This study aims to detect the early signs of botnet attacks such as massive spam emails and Distributed Denial-of-Service attacks. To that end, this study",
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      "title_en": "Method for Effective Measurement, Labeling, and Classification of Botnet C2s for Predicting Attacks",
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      "authors_en": "Mitsuhiro Hatada , Matthew A. Scholl",
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