Attacks against the IoT network are increasing rapidly, leading to an exponential growth in
the number of unsecured IoT devices. Existing security mechanisms are facing several …

Federated learning (FL) has been widely applied in Internet of Things (IoT). However, two
security problems hinder the proliferation of FL in practical IoT, ie, privacy leakage and …

In this article, we propose a fog-enabled federated learning framework-FogFL-to facilitate
distributed learning for delay-sensitive applications in resource-constrained IoT …

Internet of Things (IoT) is a promising paradigm that is considered as major enabler of smart
cities. However, with the emergence of IoT botnets, the number of unsecured IoT devices is …

In recent years, the Internet of Things (IoT) has gained much popularity, increasing the flow
of sensitive user data across the web. In addition, the adoption of fog and edge technologies …

Nowadays, IoT networks and devices exist in our everyday life, capturing and carrying
unlimited data. However, increasing penetration of connected systems and devices implies …

The Internet of Things (IoT) is an interconnected network of computing nodes that can send
and receive data without human participation. Software and communication technology …

Fog computing provides a multitude of end‐based IoT system services. End IoT devices
exchange information with fog nodes and the cloud to handle client undertakings. During the …

Edge computing is a distributed computing paradigm that involves processing data at or
near the edge of the internet of things (IoT) network, instead of centralized server. This …

As the Internet of Things (IoT) continues to grow, there arises concerns and challenges with
regard to the security and privacy of the IoT. Cyber attacks such as man-in-the-middle and …