An intrusion detection system (IDS) is an important protection instrument for detecting
complex network attacks. Various machine learning (ML) or deep learning (DL) algorithms …

Nowadays, network attacks are the most crucial problem of modern society. All networks,
from small to large, are vulnerable to network threats. An intrusion detection (ID) system is …

With the rapid advancements of ubiquitous information and communication technologies, a
large number of trustworthy online systems and services have been deployed. However …

Machine learning (ML) algorithms are often used to design effective intrusion detection (ID)
systems for appropriate mitigation and effective detection of malicious cyber threats at the …

Intrusion detection systems is a security technique which analyses network systems and
computer in real time to detect intrusions and manage responsive actions [1]. Signature and …

Cyber attacks are evolving commensurate with recent developments in information security
technology. Intrusion detection systems collect various types of data from computers and …

Most approaches to network intrusion detection look only at the header part of network
packets. These approaches are able to detect high-rate attacks, such as Denial of Service or …

The growing number of Internet users and the prevalence of web applications make it
necessary to deal with very complex software and applications in the network. This results in …

In network intrusion detection research, two characteristics are generally considered vital to
building efficient intrusion detection systems (IDSs): an optimal feature selection technique …

The global usage of more sophisticated web‐based application systems is obviously
growing very rapidly. Major usage includes the storing and transporting of sensitive data …