NIST · ИТ · 8c98ba5c1aa9ffb61a47
A review of machine learning-based zero-day attack detection: Challenges and future directions
Zero-day attacks exploit unknown vulnerabilities so as to avoid being detected by cybersecurity detection tools. The studies Bilge and Dumitraş (2012), Google (0000) and Ponemon Sullivan Privacy Report (2020) show that zero-day attacks are wide spread and
NIST · ИТОфициальный источник · 2023-01-15
{
"title_en": "A review of machine learning-based zero-day attack detection: Challenges and future directions",
"designation": "",
"series": "",
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"date": "2023-01-15",
"date_original": "January 15, 2023",
"url": "https://www.nist.gov/publications/review-machine-learning-based-zero-day-attack-detection-challenges-and-future",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Yang Guo",
"abstract_excerpt_en": "Zero-day attacks exploit unknown vulnerabilities so as to avoid being detected by cybersecurity detection tools. The studies Bilge and Dumitraş (2012), Google (0000) and Ponemon Sullivan Privacy Report (2020) show that zero-day attacks are wide spread and",
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{
"title_en": "A review of machine learning-based zero-day attack detection: Challenges and future directions",
"designation": "",
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"date": "2023-01-15",
"date_original": "January 15, 2023",
"url": "https://www.nist.gov/publications/review-machine-learning-based-zero-day-attack-detection-challenges-and-future",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Yang Guo",
"abstract_excerpt_en": "Zero-day attacks exploit unknown vulnerabilities so as to avoid being detected by cybersecurity detection tools. The studies Bilge and Dumitraş (2012), Google (0000) and Ponemon Sullivan Privacy Report (2020) show that zero-day attacks are wide spread and"
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