There is a strong need for having an operative security framework which can help in making
IoT (Internet of Things) devices more secure and reliable which can further protect from …

Traditional security measures are insufficient to meet the security challenges in Internet of
Things (IoT). Therefore, Artificial Intelligence (AI), particularly Machine Learning (ML), has …

IoT devices have changed into one of the mainstays in areas like houses, industry and
education, resulting in a level of convenience and efficiency that has never been achieved …

In recent years, the government, universities, and industry have paid attention to the
distributed approach in machine learning (ML) and cybersecurity for the developing Internet …

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 …

Federated Learning (FL) works in a distributed manner and hence it is best suitable for an
Internet of Things (IoT) environment. Large numbers of heterogeneous devices are …

Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the
emerging Internet of Things (IoT) has gained a lot of attention from the government …

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 …

The growing congruence of gadgets today resulted in a numerous type of cyber attacks. A
similar trend occurs with the industrial Internet of Things (IIoT), wherein increasing data …

Digital world especially artificial intelligence and IoT have a vital and significant role in
human life for exchanging the information and offering services through internet. These are …