Titlebook: Machine Intelligence and Big Data Analytics for Cybersecurity Applications; Yassine Maleh,Mohammad Shojafar,Youssef Baddi Book 2021 The Ed

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Frisky

Ameliorated Face and Iris Recognition Using Deep Convolutional Networkseed to respond with superior accuracy for proof of identity and concurrently ensure ease of access. In this chapter we propose approaches using deep convolutional networks which give extremely accurate results with substantially smaller processing time for face and iris recognition. Two approaches b

caldron

Presentation Attack Detection Framework biometrics (e.g., face, eye, fingerprint), iris-based authentication is commonly used in every day applications. In iris-based authentication systems, iris images from legitimate users are captured and certain features are extracted to be used for matching during the authentication process. Literat

织布机

Classifying Common Vulnerabilities and Exposures Database Using Text Mining and Graph Theoretical Anat increase its usability. This results in focusing on some well-known vulnerabilities and leaving others during the security tests. Better classification of this dataset would result in finding solutions to a larger set of vulnerabilities/exposures. In this research, vulnerability and exposure data

bourgeois

A Novel Deep Learning Model to Secure Internet of Things in Healthcarerolling, and optimization. In this paper, an artificial neural network (ANN), a structure of deep learning model, is proposed to efficiently work with small datasets. The contribution of this paper is two-fold. First, we proposed a novel approach to build ANN architecture. Our proposed ANN structure

HOWL

Secure Data Sharing Framework Based on Supervised Machine Learning Detection System for Future SDN-Brs may steal or perturb flows in SDN by performing several types of attacks such as address resolution protocol poisoning, main in the middle and rogue nodes attacks. These attacks are very harm full to SDN networks as they can be performed easily and passively at all SDN layers. Furthermore, data-s

考博

Instantaneous

Anjum Nazir,Rizwan Ahmed Khanngen (mit Ausnahme der physiologischen Wirkungsweise) kennen zu lehren und ihre Ergebnisse unter allgemeinen Gesichtspunkten miteinander zu verknüpfen hat. Nach dieser neuen, gegenüber früheren erheblich erweiterten Definition ist es die Aufgabe des pharmakognostischen Forschers, nicht nur die zu se

Cryptic

Youssef Gahi,Imane El Alaouingen (mit Ausnahme der physiologischen Wirkungsweise) kennen zu lehren und ihre Ergebnisse unter allgemeinen Gesichtspunkten miteinander zu verknüpfen hat. Nach dieser neuen, gegenüber früheren erheblich erweiterten Definition ist es die Aufgabe des pharmakognostischen Forschers, nicht nur die zu se

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