Organizations that benefit from information technologies are vulnerable to various attacks
and malicious behaviors. Intrusion Detection Systems (IDS) are one of the main lines of …

Given the prevailing state of cybersecurity, it is reasonable to understand why cybersecurity
experts are seriously considering artificial intelligence as a potential field that can aid …

ABSTRACT Network Intrusion Detection System (NIDS) is often used to classify network
traffic in an attempt to protect computer systems from various network attacks. A major …

With the Internet's unprecedented growth and nations' reliance on computer networks, new
cyber‐attacks are created every day as means for achieving financial gain, imposing …

Wireless sensor networks have become integral components of the monitoring systems for
critical infrastructures such as the power grid or residential microgrids. Therefore …

Recently, the Distributed Denial of Service (DDOS) attacks has been used for different
aspects to denial the number of services for the end-users. Therefore, there is an urgent …

The rapid advancement of Internet stimulates building intelligent data mining systems for
detecting intrusion attacks. The performance of such systems might be negatively affected …

The cloud computing environment faces significant security challenges, impacting its long-
term growth. Intrusion detection is crucial for mitigating potential threats in this domain …

Nowadays, attackers are constantly targeting the modern aspects of technology and
attempting to abuse these technologies using different attacks types such as the distributed …

Fuzzy Rule Interpolation (FRI) methods can serve deducible (interpolated) conclusions even
in case if some situations are not explicitly defined in a fuzzy rule based knowledge …