Cybersecurity has become one of the focuses of organisations. The number of cyberattacks
keeps increasing as Internet usage continues to grow. An intrusion detection system (IDS) is …

Cybersecurity has become one of the focuses of organisations. The number of cyberattacks
keeps increasing as Internet usage continues to grow. As new types of cyberattacks …

Intrusion detection systems (IDSs) have been studied widely in the computer security
community for a long time. The recent development of machine learning techniques has …

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 …

The network intrusion detection system (NIDS) has become an essential tool for detecting
attacks in computer networks and protecting the critical information and systems. The …

Many studies utilized machine learning schemes to improve network intrusion detection
systems recently. Most of the research is based on manually extracted features, but this …

Machine learning (ML) has been frequently used to build intelligent systems in many
problem domains, including cybersecurity. For malicious network activity detection, ML …

The rapid growth of the Internet and communications has resulted in a huge increase in
transmitted data. These data are coveted by attackers and they continuously create novel …

In the modern world, Machine Learning (ML) touches our day-to-day routine in various ways.
Researchers have been actively working on adding intelligence to Intrusion Detection …

Rapid advancements in areas of communication and the internet ensued a significant boost
in data and capacity of the network. As a consequence, a plethora of novel threats are being …