Cloud computing facilitates the users with on-demand services over the Internet. The
services are accessible from anywhere at any time. Despite the valuable services, the …

The identification of unusual data in computer networks is a critical task for intrusion
detection systems. In this study, a novel approach has been proposed for improving …

The notorious attacks of the last few years have propelled cyber security to the top of the
boardroom agenda, and raised the level of criticality to new heights. Therefore, building a …

In computer networks, intrusion detection systems are used to detect cyber-attacks and
anomalies. Feature selection is important for intrusion detection systems to scan the network …

With the increasing use of the Internet and its coverage of all areas of life and the increasing
amount of sensitive and confidential information on the Internet, the number of malicious …

As the amount of traffic on the Internet increases, so does the number of new and
sophisticated network attacks. Intrusion detection systems are the most important tools for …

In the rapidly evolving landscape of internet usage, ensuring robust cybersecurity measures
has become a paramount concern across diverse fields. Among the numerous cyber threats …

Machine learning (ML) has been frequently used to build intelligent systems in many
problem domains, including cybersecurity. For malicious network activity detection, ML …

The successful deployment of an Intrusion Detection System (IDS) in the Internet of Things
(IoT) is subject to two primary criteria: the detection method and the deployment strategy …

In order to better deal with the current unstable network security situation and improve the
accuracy and generalization ability of the intrusion detection model, this paper proposes a …