In today's digital landscape, the increasing frequency and sophistication of cyberattacks
have highlighted the necessity for robust intrusion detection systems (IDS) to safe-guard …

The rapid growth of using the Internet raises the possibility of network attacks. In order to
secure internal networks, intrusion detection systems are widely employed to address a …

This paper reviews the machine learning based research carried out for network intrusion
detection to lead a secure computer and network systems to the extent possible. Starting …

An Intrusion Detection System (IDS) is a software used to monitor a single computer or a
network of computers to combat network attacks, block access to certain websites, or …

Cyber security is a big issue in current society since exploiting computer network
vulnerabilities has become simple thanks to technological advances and human talents …

Cybersecurity has become a priority concern of the digital society. Many attacks are
becoming more sophisticated, requiring strengthening the strategies of identification …

Machine learning methodologies have become indispensable in augmenting the efficacy of
intrusion detection systems (IDS). This paper furnishes a comprehensive survey of machine …

In today's digital world, the tremendous amount of data poses a significant challenge to
cyber security. The complexity of cyber-attacks makes it difficult to develop efficient tools to …

Network security is of central significance in the current information world. Due to the rapid
increase of network-enabled devices, there is a significant risk of network intrusion more …

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 …