With the emergence of technology, the usage of IoT (Internet of Things) devices is said to be
increasing in people's lives. Such devices can benefit the average individual, who does not …

Nowadays, hackers take illegal advantage of distributed resources in a network of
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …

With the increasing severity and frequency of cyberattacks, the rapid expansion of smart
objects intensifies cybersecurity threats. The vast communication traffic data between …

Smart grids have emerged as a transformative technology in the power sector, enabling
efficient energy management. However, the increased reliance on digital technologies also …

Recently, there has been considerable growth in the internet of things (IoT)-based
healthcare applications; however, they suffer from a lack of intrusion detection systems …

The Internet of Things (IoT) is a network of sensors that helps collect data 24/7 without
human intervention. However, the network may suffer from problems such as the low battery …

Federated learning (FL) is a machine learning (ML) technique that enables collaborative
model training without sharing raw data, making it ideal for Internet of Things (IoT) …

Internet of Things (IoT) networks have been integrated into industrial infrastructure schemes,
positioning themselves as devices that communicate highly classified information for the …

The comparison of low-rank-based learning models for multi-label categorization of attacks
for intrusion detection datasets is presented in this work. In particular, we investigate the …

The study in this paper characterizes lightweight IoT networks as being established by
devices with few computer resources, such as reduced battery life, processing power …