Purpose The paper addresses various cyber threats and their effects on the internet. A
review of the literature on intrusion detection systems (IDSs) as a means of mitigating …

The entire world relates to some network capabilities in some way or the other. The data
transmission on the network is getting more straightforward and quicker. An intrusion …

Machine learning and deep learning techniques are widely used to evaluate intrusion
detection systems (IDS) capable of rapidly and automatically recognizing and classifying …

Abstract Machine-learning techniques have been actively employed to information security
in recent years. Traditional rule-based security solutions are vulnerable to advanced attacks …

The massive growth of data that are transmitted through a variety of devices and
communication protocols have raised serious security concerns, which have increased the …

In recent years, all real-world processes have been shifted to the cyber environment
practically, and computers communicate with one another over the Internet. As a result, there …

The Intrusion Detection System (IDS) is an effective tool utilized in cybersecurity systems to
detect and identify intrusion attacks. With the increasing volume of data generation, the …

With an ever increasing number of connected devices, network intrusion detection is more
important than ever. Over the past few decades, several datasets were created to address …

The Internet connects hundreds of millions of computers across the world running on
multiple hardware and software platforms providing communication and commercial …

Research in the field of Intrusion Detection is focused on developing an efficient strategy that
can identify network attacks. One of the important strategies is to supervise the network …