In many enterprises and the private sector, the Internet of Things (IoT) has spread globally.
The growing number of different devices connected to the IoT and their various protocols …

The goal of this paper is to understand the effectiveness of machine learning (ML)
algorithms in combatting IoT-related cyber-attacks, with a focus on Denial of Service (DoS) …

This study explores the growing challenges of cybersecurity in the context of rapidly adopted
Internet of Things (IoT) technologies, which have become increasingly susceptible to cyber …

IoT devices are known to be vulnerable to various cyber-attacks, such as data exfiltration
and the execution of flooding attacks as part of a DDoS attack. When it comes to detecting …

Cybersecurity is a common Internet of Things security challenge. The lack of security in IoT
devices has led to a great number of devices being compromised, with threats from both …

Abstract The Internet of Things (IoT) has emerged over the past ten years as the newest
technology trend that is luring researchers and developers from every sector of industry and …

Almost all industrial internet of things (IIoT) attacks happen at the data transmission layer
according to a majority of the sources. In IIoT, different machine learning (ML) and deep …

With the continuous expansion and evolution of IoT applications, attacks on those IoT
applications continue to grow rapidly. In this systematic literature review (SLR) paper, our …

The widespread use of smart devices and the numerous security weaknesses of networks
has dramatically increased the number of cyber-attacks in the internet of things (IoT) …

The expansion of the Internet of Things (IoT) has also given rise to an increasing number of
destructive attacks that pose severe threats to exposed IoT devices. As such, IoT …