One of the major developments in machine learning in the past decade is the ensemble
method, which finds highly accurate classifier by combining many moderately accurate …

One of the major developments in machine learning in the past decade is the ensemble
method, which finds highly accurate classifier by combining many moderately accurate …

One of the major developments in machine learning in the past decade is the ensemble
method, which finds highly accurate classifier by combining many moderately accurate …

An intrusion detection system (IDS) plays a critical role in computer protection systems.
Numerous approaches such as machine learning, data mining, and statistical techniques …

Network security is a challenging task, as there is a tremendous growth of network-based
services and sharing of sensitive information on the network. Intrusion throws a serious risk …

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

In supervised learning‐based classification, ensembles have been successfully employed to
different application domains. In the literature, many researchers have proposed different …

The growth of Internet and the services provided by it has been growing exponentially in the
past few decades. With such growth, there is also an ever-increasing threat to the security of …

The aim of this paper is to analyze the performance of an intrusion detection model using
single-and ensemble-based classifiers. Several tree-based single classifiers were analyzed …

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 …