NIST · ИТ · 52b8be3a3a136ccec392
Deep Learning for Detecting Network Attacks: An End to End approach
Network attack is still a major security concern for organizations worldwide. Recently, researchers have started to apply neural networks to detect network attacks by leveraging network traÿc data. However, public network data sets have major drawbacks
NIST · ИТОфициальный источник · 2021-07-19
{
"title_en": "Deep Learning for Detecting Network Attacks: An End to End approach",
"designation": "",
"series": "",
"status": "",
"date": "2021-07-19",
"date_original": "July 19, 2021",
"url": "https://www.nist.gov/publications/deep-learning-detecting-network-attacks-end-end-approach",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Qingtian Zou, Anoop Singhal , Xiaoyan Sun, Peng Liu",
"abstract_excerpt_en": "Network attack is still a major security concern for organizations worldwide. Recently, researchers have started to apply neural networks to detect network attacks by leveraging network traÿc data. However, public network data sets have major drawbacks",
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{
"title_en": "Deep Learning for Detecting Network Attacks: An End to End approach",
"designation": "",
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"date": "2021-07-19",
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"url": "https://www.nist.gov/publications/deep-learning-detecting-network-attacks-end-end-approach",
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"authors_en": "Qingtian Zou, Anoop Singhal , Xiaoyan Sun, Peng Liu",
"abstract_excerpt_en": "Network attack is still a major security concern for organizations worldwide. Recently, researchers have started to apply neural networks to detect network attacks by leveraging network traÿc data. However, public network data sets have major drawbacks"
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