There is a great demand for an efficient security framework which can secure IoT systems
from potential adversarial attacks. However, it is challenging to design a suitable security …

In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …

Abstract Federated Learning (FL, or Collaborative Learning (CL)) has surely gained a
reputation for not only building Machine Learning (ML) models that rely on distributed …

Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …

In the history of device computing, Internet of Things (IoT) is one of the fastest growing field
that facing many security challenges. The effective efforts should have been made to …

Internet of Things (IoT) is the paramount virtual network that enables remote users to access
connected multimedia devices. It has dragged the attention of the community because it …

Securing IoT devices and delivering end-to-end security in an IoT ecosystem presents a
variety of issues. Regardless of the way that security concerns are not new with regards to …

Technology has become inevitable in human life, especially the growth of Internet of Things
(IoT), which enables communication and interaction with various devices. However, IoT has …

Using federated learning, which is a distributed machine learning approach, a machine
learning model can train on a distributed data set without having to transfer any data …

The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …