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Mostrando ítems 11-20 de 70
“Análisis del mecanismo de detección y defensa híbrido frente a los ataques IP Spoofing hacia un servidor NTP en la red de datos institucional de la Universidad Nacional de Chimborazo”
(Universidad Nacional de Chimborazo,2019, 2019)
Efficient width-extended convolutional neural network for robust face spoofing detection
(2018-12-13)
Biometrics has been increasingly used as a safe and convenient technique for people identification. Despite the higher security of biometric systems, criminals have already developed methods to circumvent them, being the ...
Estudio comparativo de tecnologías de la seguridad informática phishing y spoofing para la detección de un ataque informático.
(Babahoyo: UTB-FAFI. 2022, 2022)
Deep Boltzmann Machines for Robust Fingerprint Spoofing Attack Detection
(Ieee, 2017-01-01)
Biometric systems present some important advantages over the traditional knowledge- or possess-oriented identification systems, such as a guarantee of authenticity and convenience. However, due to their widespread usage ...
Deep Boltzmann machines for robust fingerprint spoofing attack detection
(2017-06-30)
Biometrie systems present some important advantages over the traditional knowledge-or possess-oriented identification systems, such as a guarantee of authenticity and convenience. However, due to their widespread usage in ...
Knowledge-Based Wavelet Filters Prominently Detect Spoofed Speech
(2021-01-01)
Although voice biometrics has been at the forefront of speech technologies, spoofing attacks have been one of the main issues responsible for avoiding its practical usage in commercial applications. Consequently, this ...
Deep Representations For Iris, Face, And Fingerprint Spoofing Detection
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2015)
Using Visual Rhythms For Detecting Video-based Facial Spoof Attacks
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2015)
A restricted boltzmann machine-based approach for robust dimensionality reduction
(2018-01-31)
Data dimensionality is an important issue to be adressed by pattern recognition systems. Despite of storage and processing, working with high-dimensional feature vectors also requires complex optimization methods. A proper ...
Análise da efetividade de um sistema anti-spoofing para reconhecimento facial com a classificação de imagens estéreo através de uma rede neural convolucional
(Universidade Federal do Rio Grande do NorteBrasilUFRNEngenharia de ComputaçãoCentro de Tecnologia, 2023)