NIST · ИТ · a3fc63c8cb4e75199fa1
Anomaly Based Intrusion Detection using Large Language Models
In the context of modern networks where cyber-attacks are increasingly complex and frequent, traditional Intrusion Detection Systems (IDS) often struggle to manage the vast volume of data and fail to detect novel attacks. Leveraging Artificial Intelligence
NIST · ИТОфициальный источник · 2024-06-15
{
"title_en": "Anomaly Based Intrusion Detection using Large Language Models",
"designation": "",
"series": "",
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"date": "2024-06-15",
"date_original": "June 15, 2024",
"url": "https://www.nist.gov/publications/anomaly-based-intrusion-detection-using-large-language-models",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Zineb Maasaoui , Abdella Battou , Mheni Merzouki , Ahmed LBATH",
"abstract_excerpt_en": "In the context of modern networks where cyber-attacks are increasingly complex and frequent, traditional Intrusion Detection Systems (IDS) often struggle to manage the vast volume of data and fail to detect novel attacks. Leveraging Artificial Intelligence",
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{
"title_en": "Anomaly Based Intrusion Detection using Large Language Models",
"designation": "",
"series": "",
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"date": "2024-06-15",
"date_original": "June 15, 2024",
"url": "https://www.nist.gov/publications/anomaly-based-intrusion-detection-using-large-language-models",
"source": "NIST Publications",
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"authors_en": "Zineb Maasaoui , Abdella Battou , Mheni Merzouki , Ahmed LBATH",
"abstract_excerpt_en": "In the context of modern networks where cyber-attacks are increasingly complex and frequent, traditional Intrusion Detection Systems (IDS) often struggle to manage the vast volume of data and fail to detect novel attacks. Leveraging Artificial Intelligence"
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