In this review, significant literature surveys on machine learning (ML) and deep learning
(DL) techniques for network analysis of intrusion detection are explained. In addition, it …

It is an undeniable fact that currently information is a pretty significant presence for all
companies or organizations. Therefore protecting its security is crucial and the security …

Last years have witnessed more and more DDoS attacks towards high-profile websites, as
the Mirai botnet attack on September 2016, or more recently the memcached attack on …

Botnets, groups of malware-infected hosts controlled by malicious actors, have gained
prominence in an era of pervasive computing and the Internet of Things. Botnets have …

In this technology-based era, network-based systems are facing new cyber-attacks on daily
bases. Traditional cybersecurity approaches are based on old threat-knowledge databases …

With rapidly increment of internet traffic, the importance of cyber security also increases
significantly. Several areas like IP traffic classifications, detection of-intrusion, spam and …

Modern networks and systems pose many challenges to traditional management
approaches. Not only the number of devices and the volume of network traffic are increasing …

In recent years, Botnets have become an important security problem on the Internet. Botnets
have been used for many attacks, such as banking information theft, spam, distributed denial …

Peer-to-peer (P2P) botnets have become one of the major threats in network security for
serving as the infrastructure that responsible for various of cyber-crimes. Though a few …

Even though malware detection is an active area of research, not many works have used
features extracted from physical properties, such as power consumption. This paper is …