The internet has grown enormously for many years. It is not just connecting computer
networks but also a group of devices worldwide involving big data. The internet provides an …

Network intrusion detection (NID) is an important method for network system administrators
to detect various security holes. The performance of traditional NID methods can be affected …

Abstract Today, Smart City projects and their initiatives are continuously developing with the
vast deployment of the Internet of Things (IoT) devices. Smart cities efficiently manage …

Given the increasing frequency of network attacks, there is an urgent need for more effective
network security measures. While traditional approaches such as firewalls and data …

In communication and information technology, the Internet of Things (IoT) creates an
enormous amount of data traffic that permits data analysis to expose and detect unusual …

This proposed model introduces novel deep learning methodologies. The objective here is
to create a reliable intrusion detection mechanism to help identify malicious attacks. Deep …

In the current digital era, one of the most critical and challenging issues is ensuring
cybersecurity in information technology (IT) infrastructures. With significant improvements in …

Intrusion detection in computer networks is of great importance because of its effects on the
different communication and security domains. The detection of network intrusion is a …

In this paper, we survey the published work on machine learning-based network intrusion
detection systems covering recent state-of-the-art techniques. We address the problems of …

Network intrusion detection systems (NIDSs) play an essential role in the defense of
computer networks by identifying a computer networks' unauthorized access and …