ML applications proliferate across various sectors. Large internet firms employ ML to train
intelligent models using vast datasets, including sensitive user information. However, new …

Between the changing Industry 4.0 landscape and the rise of Industry 5.0, where human
intelligence and intelligent machines work together, vast amounts of privacy-sensitive data …

Background: The progress of the Cognitive Radio-Wireless Sensor Network is being
influenced by advancements in wireless sensor networks (WSNs), which significantly have …

The fifth generation (5G) of mobile technology is a new universal wireless standard that
permits the formation of an original form of network that associates everything and everyone …

In the recent years, the interest of individual users in modern electric vehicles (EVs) has
grown exponentially. An EV has two major components, which make it different from …

Deep learning has been proven to be a powerful tool for addressing the most significant
issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource …

In an era where data is often referred to as the new oil, the telecommunications industry
faces increasing scrutiny over how it handles sensitive customer information. As telecom …

Integrating cognitive radio (CR) technique with wireless networks is an effective way to solve
the increasingly crowded spectrum. Automatic modulation classification (AMC) plays an …

The rapid growth of the Internet of Things (IoT) in our daily life has recently received
attention from hackers in releasing novel attacks. This is because the existing traditional …

Radio access network (RAN) enables large-scale collection of sensitive data. Privacy-
preserving techniques aim to learn knowledge from sensitive data to improve services …