Nowadays, communication systems and networks, become an integral part of not only our
everyday life but also even in industry, critical infrastructure, business, etc. Current trends …

This chapter investigates the revolutionary convergence of data science with the Internet of
Things (IoT). It demonstrates how data science approaches like advanced analytics …

Deep Learning Approaches for Security Threats in IoT Environments An expert discussion of
the application of deep learning methods in the IoT security environment In Deep Learning …

Communication systems and networks are evolving as an integral part of not only of our
everyday life but also as a part of the industry, fundamental infrastructures, companies, etc …

N OWADAYS, billions of devices are connected to the In-ternet, enabling Internet of Things
(IoT) systems widely deployed, such as smart city, smart healthcare and intelligent plant, to …

In this era of the Internet of Everything (IoE), edge computing has emerged as the critical
enabling technology to solve a series of issues caused by an increasing amount of …

Edge computing has already shown its potential benefits to support the delay-sensitive and
computation-intensive service provisioning in the Internet-of-Things-based environments …

The flourish of 5th generation wireless systems (5G) network has brought numerous benefits
to the Internet of Things (IoT) with universal connectivity, improved data rate, and decreased …

The rapid proliferation of Internet of Things (IoT) devices across various industries has
revolutionized the way we interact with technology. However, this widespread adoption has …

Benefits of edge computing include reduced latency and bandwidth savings, privacy-by-
default and by-design in compliance with new privacy regulations that encourage sharing …