In a computing context, cybersecurity is undergoing massive shifts in technology and its
operations in recent days, and data science is driving the change. Extracting security …

Key components of current cybersecurity methods are the Intrusion Detection Systems
(IDSs) were different techniques and architectures are applied to detect intrusions. IDSs can …

Ensemble methods for machine learning serve to increase the predictive power of
preexisting models by applying a meta-algorithm on top of the underlying workings of one or …

This paper presents a hybrid deep learning neural network for classifying the network traffic
data. In this regard, a Stacked Autoencoder and Feedforward neural network with tangent …

The ability for organizations to efficiently secure their hybrid cloud infrastructures would
make the cloud even more appealing and reliable. This dissertation investigated the opinion …