NIST · ИТ · 8e828b082b27b44b276c
Attack vs. Countermeasure Effectiveness (ACE): Modeling Tool for BGP
We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometric systems on a population approaching 1,000 individuals. Majority of prior studies of multimodal
NIST · ИТОфициальный источник · 2004-11-01
{
"title_en": "Attack vs. Countermeasure Effectiveness (ACE): Modeling Tool for BGP",
"designation": "",
"series": "",
"status": "",
"date": "2004-11-01",
"date_original": "November 1, 2004",
"url": "https://www.nist.gov/publications/attack-vs-countermeasure-effectiveness-ace-modeling-tool-bgp",
"source": "NIST Publications",
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"authors_en": "Kotikalapudi Sriram , Douglas Montgomery , D. Richard Kuhn",
"abstract_excerpt_en": "We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometric systems on a population approaching 1,000 individuals. Majority of prior studies of multimodal",
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{
"title_en": "Attack vs. Countermeasure Effectiveness (ACE): Modeling Tool for BGP",
"designation": "",
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"date": "2004-11-01",
"date_original": "November 1, 2004",
"url": "https://www.nist.gov/publications/attack-vs-countermeasure-effectiveness-ace-modeling-tool-bgp",
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"authors_en": "Kotikalapudi Sriram , Douglas Montgomery , D. Richard Kuhn",
"abstract_excerpt_en": "We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometric systems on a population approaching 1,000 individuals. Majority of prior studies of multimodal"
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