Traffic analysis is the process of monitoring network activities, discovering specific patterns,
and gleaning valuable information from network traffic. It can be applied in various fields …

The rapid developments of the Internet of Things (IoT) and smart mobile devices in recent
years have been dramatically incentivizing the advancement of edge computing. On the one …

Anomaly detection is an important problem that has been well-studied within diverse
research areas and application domains. The aim of this survey is two-fold, firstly we present …

Deep learning has exploded in the public consciousness, primarily as predictive and
analytical products suffuse our world, in the form of numerous human-centered smart-world …

There is a wide range of interdisciplinary intersections between cyber security and artificial
intelligence (AI). On one hand, AI technologies, such as deep learning, can be introduced …

In recent years there exists a wide variety of cyber attacks with the drastic development of
the internet technology. Detection of these attacks is of more significant in today's cyber …

With increment in dependency on web technology, a commensurate increase has been
noted in destructive attempts to disrupt the essential web technologies, hence leading to …

The internet network is mostly victimized to the Distributed Denial of Service (DDOS) attack,
which is one that intentionally occupies the computing resources and bandwidth in order to …

In this article, the application of the deep learning method based on Gaussian–Bernoulli
type restricted Boltzmann machine (RBM) to the detection of denial of service (DoS) attacks …

This study reviews and analyses the research landscape for intrusion detection systems
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …