Due to the processes involved in the electronic transformation of data, the use of computer
systems and the Internet in recent years has led to significant security, privacy, and …

Software Defined Networking (SDN) is a networking paradigm that has been very popular
due to its advantages over traditional networks with regard to scalability, flexibility, and its …

In recent years, mobile devices have become commonly used not only for voice
communications but also to play a major role in our daily activities. Accordingly, the number …

The random forest algorithm is one of important supervised machine learning (ML)
algorithms. In the present paper, the accuracy of the results of the random forest (RF) …

Reliable high-speed networks are essential to provide quality services to ever growing
Internet applications. A Network Intrusion Detection System (NIDS) is an important tool to …

Abstract Distributed Denial-of-Service attacks have been a challenge to cyberspace, as the
attackers send a large number of attack packets similar to the normal traffic, to throttle …

The increase in successful cyber-attacks on systems with firewalls and encryption
techniques has led to the creation of Intrusion Detection Systems (IDS). Machine learning …

Using traditional methods based on detection rules written by human security experts
presents significant challenges for the accurate detection of network threats, which are …

With the invention of modern network technologies in recent decades, the exponential
growth in wireless devices and their ease in wireless connectivity, network traffic is …

In recent years, machine learning (ML) techniques have been widely adopted as anomaly-
based Intrusion Detection System in order to evaluate cyber and physical attacks against …