In the era of the Internet of Things (IoT), connected objects produce an enormous amount of
data traffic that feed big data analytics, which could be used in discovering unseen patterns …

In the era of the Internet of Things (IoT), connected objects produce an enormous amount of
data traffic that feed big data analytics, which could be used in discovering unseen patterns …

In the era of the Internet of Things (IoT), connected objects produce an enormous amount of
data traffic that feed big data analytics, which could be used in discovering unseen patterns …

Abstract In the Information and Communication Technology age, connected objects
generate massive amounts of data traffic, which enables data analysis to uncover previously …

Cyber Security is a crucial point of the current world; it is used to analyze, defend, and detect
network intrusion systems. An intrusion detection system has been designed using Deep …

As industrial and everyday devices become increasingly interconnected, the data volume
within the Internet of Things (IoT) has experienced a substantial surge. This surge in data …

In this paper, we present a survey of deep learning approaches for cyber security intrusion
detection, the datasets used, and a comparative study. Specifically, we provide a review of …

Intrusions in computer networks have increased significantly in recent times and network
security mechanisms are not being developed at the same pace at which intrusion attacks …

This study introduces a sophisticated intrusion detection system (IDS) that has been
specifically developed for internet of things (IoT) networks. By utilizing the capabilities of …

To address the problem of low accuracy of existing network intrusion detection models for
multi-classification of intrusion behaviors and redundancy of data features, a network …