The ability to process large amounts of data in real time using big data analytics tools brings
many advantages that can be used in intrusion detection systems. Deep learning …

Nowadays, cloud computing provides easy access to a set of variable and configurable
computing resources based on user demand through the network. Cloud computing …

Anomaly-based intrusion detection system have been consistently used in business
organizations and military to detect a breach in network by identifying any activity that …

An administrator is employed to identify network security breaches in their organizations by
using a Network Intrusion Detection and Prevention System (NIDPS), which is presented in …

Modern networks are at risk from a variety of threats as a result of the enormous growth in
internet-based traffic. By consuming time and resources, intrusive traffic hampers the …

Wireless sensor network (WSN) cluster‐based architecture is a system designed to control
and monitor specific events or phenomena remotely, and one of the important concerns that …

An integral part of security infrastructure is detecting and identifying malicious attacks
commonly found in network environments. Despite its effectiveness at identifying anomalous …

This study introduces an innovative approach, merging Harris Hawks optimisation (HHO)
with a sigmoid neuron network (SN), to enhance anomaly-based intrusion detection systems …

The failure of internet networking systems, which can happen in various methods, may
negatively impact contemporary information and communication technologies. In these …

The heavy dependency on the internet, as well as other emerging technologies for access,
storage, and sharing of information, has triggered a proportional increase in cyberattacks …