In machine learning, a combination of classifiers, known as an ensemble classifier, often
outperforms individual ones. While many ensemble approaches exist, it remains, however, a …

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 …

Network security has been a very important problem. Intrusion detection systems have been
widely used to protect network security. Various machine learning techniques have been …

An intrusion detection system is a security system that aims to detect sabotage and
intrusions on networks to inform experts of the attack and abuse of the network. Different …

Intrusion detection systems (IDSs) are intrinsically linked to a comprehensive solution of
cyberattacks prevention instruments. To achieve a higher detection rate, the ability to design …

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 …

Several studies have used machine learning algorithms to develop intrusion systems (IDS),
which differentiate anomalous behaviours from the normal activities of network systems. Due …

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

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 …

Intrusion detection system is widely used to protect and reduce damage to information
system. It protects virtual and physical computer networks against threats and vulnerabilities …