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 …

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 …

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

Using data analytics in the problem of Intrusion Detection and Prevention Systems (IDS/IPS)
is a continuous research problem due to the evolutionary nature of the problem and the …

As cyber-attacks become remarkably sophisticated, effective Intrusion Detection Systems
(IDSs) are needed to monitor computer resources and to provide alerts regarding unusual or …

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 …

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 …

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 …

Machine learning has been leveraged to increase the effectiveness of intrusion detection
systems (IDSs). The focus of this approach, however, has largely be on detecting known …

Networks play important roles in modern life, and cyber security has become a vital research
area. An intrusion detection system (IDS) which is an important cyber security technique …