In the wake of the expanding digital realm, the imperative for robust cybersecurity measures
has burgeoned significantly. This extensive investigation digs into the complicated realm of …

With the ubiquitous nature of information technology solutions that facilitate communication
in the modern world, cyber attacks are increasing in volume and becoming more …

With the world moving towards being increasingly dependent on computers and automation,
one of the main challenges in the current decade has been to build secure applications …

The state-of-the-art evaluation of an Intrusion Detection System (IDS) relies on benchmark
datasets composed of the regular system's and potential attackers' behavior. The datasets …

Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …

Cyberattacks are becoming more and more advanced, making it more difficult to identity
suspicious activities on network traffic. Weaponizing the data in the line between network …

Abstract Machine learning algorithms efficiently trained on intrusion detection datasets can
detect network traffic capable of jeopardizing an information system. In this study, we use the …

Contemporary culture presents a substantial obstacle for cyber security experts in the shape
of software vulnerabilities, which, if taken advantage of, can jeopardize the Confidentiality …

As the world moves towards being increasingly dependent on computers and automation,
building secure applications, systems and networks are some of the main challenges faced …

Recently, intrusion detection systems (IDS) have become an essential part of most
organisations' security architecture due to the rise in frequency and severity of network …