NIST · ИТ · e00c3bb0f1eee0b92684
Micro-Signatures: The Effectiveness of Known Bad N-Grams for Network Anomaly Detection
The field of intrusion detection is divided into signature detection and anomaly detection. The former involves identifying patterns associated with known attacks and the latter involves attempting to learn a 'normal' pattern of activity and then producing
NIST · ИТОфициальный источник · 2017-02-05
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"title_en": "Micro-Signatures: The Effectiveness of Known Bad N-Grams for Network Anomaly Detection",
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"date": "2017-02-05",
"date_original": "February 5, 2017",
"url": "https://www.nist.gov/publications/micro-signatures-effectiveness-known-bad-n-grams-network-anomaly-detection",
"source": "NIST Publications",
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"authors_en": "Richard Harang, Peter Mell",
"abstract_excerpt_en": "The field of intrusion detection is divided into signature detection and anomaly detection. The former involves identifying patterns associated with known attacks and the latter involves attempting to learn a 'normal' pattern of activity and then producing",
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"title_en": "Micro-Signatures: The Effectiveness of Known Bad N-Grams for Network Anomaly Detection",
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