Data mining is the use of algorithms to extract the information and patterns derived by the
knowledge discovery in databases process. Classification is a very common data mining …

Intrusion detection systems (IDS) are an important element in a network's defences to help
protect against increasingly sophisticated cyber attacks. IDS that rely solely on a database of …

Intrusion detection is one of the important security problems in todays cyber world. A
significant number of techniques have been developed which are based on machine …

Nowadays, one critical challenge of cybersecurity administrators is the protection of online
resources from network intrusions. Despite several academic and industry research …

With the rapid rise in the ubiquity and sophistication of Internet technology and the
accompanying growth in the number of network attacks, network intrusion detection has …

An efficient machine learning (ML) ensemble technique for categorizing Intrusion Detection
(ID) is proposed in this study. The tuning of the ML model's parameters is a critical topic …

Network security plays an essential role in secure communication and avoids financial loss
and crippled services due to network intrusions. Intruders generally exploit the flaws of …

As the alarming growth of connectivity of computers and the significant number of computer-
related applications increase in recent years, the challenge of fulfilling cyber-security is …

As advances in networking technology help to connect the distant corners of the globe and
as the Internet continues to expand its influence as a medium for communications and …

Network intrusion is a growing threat with potentially severe impacts, which can be
damaging in multiple ways to network infrastructures and digital/intellectual assets in the …