Deep Learning Applications for Cyber Security - Brossura
Libro 37 di 100: Advanced Sciences and Technologies for Security Applications
Sinossi
Adversarial Attack, Defense, and Applications with Deep Learning Frameworks; Z. Yin et al.-
Intelligent Situational-Awareness Architecture for Hybrid Emergency Power Systems in More Electric Aircraft; Y.J. Mendis et al.-
Deep Learning in Person Re-identication for Cyber-Physical Surveillance Systems; L. Wu et al.-
Deep Learning-based Detection of Electricity Theft Cyber-attacks in Smart Grid AMI Networks; M. Nabil et al.-
Using Convolutional Neural Networks for Classifying Malicious Network Traffic; K. Millar et al.-
DBD: Deep Learning DGA-based Botnet Detection; R. Vinayakumar et al.-Enhanced Domain Generating Algorithm Detection Based on Deep Neural Networks; A.D. Kumar et al.-
Intrusion Detection in SDN-based Networks: Deep Recurrent Neural Network Approach; T.A. Tang et al.-
SeqDroid: Obfuscated Android Malware Detection using Stacked Convolutional and Recurrent Neural Networks; W. Younghoo Lee et al.-
Forensic Detection of Child Exploitation Material using Deep Learning; M. Islam et al.-
Toward Detection of Child Exploitation Material: A Forensic Approach; M. Islam et al.Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
