Federated learning is a privacy-preserving machine learning technique that trains models
across multiple devices holding local data samples without exchanging them. There are …

Nowadays, increasing urbanization has necessitated the social, environmental, and
economic development of cities to enhance the Quality of Life (QoL) significantly and …

Most current research on decentralized IoT applications focuses on a specific vulnerability.
However, for IoT applications, only a limited number of techniques are dedicated to handling …

Abstract Internet of Things (IoT) includes medical devices, servers, and applications linked
using computer networks to collect and share data. Recently there is a massive surge in IoT …

Due to the value and importance of patient health records (PHR), security is the most critical
feature of encryption over the Internet. Users that perform keyword searches to gain access …

The rapid advancements in technology have paved the way for innovative solutions in the
healthcare domain, aiming to improve scalability and security while enhancing patient care …

To address the limitations of 5 G, 6 G wireless networks are envisaged to provide sub-
millisecond latency, ultra-high connection density, extremely high data rates, better …

Internet of medical things (IoMT) has made it possible to collect applications and medical
devices to improve healthcare information technology. Since the advent of the pandemic of …

Renewable energy microgeneration is rising leading to creation of prosumer communities
making it possible to extract value from surplus energy and usage flexibility. Such a peer-to …

With constantly changing internet models automating and digitising countless residential
and industrial applications, the world of today has made significant progress in the sharing …