Abstract As Internet of Things proliferate, so are the vulnerabilities that may expose
consumers to threat actors. Some of the early adopters include home users, industries, and …

Sensitive patient data is compromised by ransomware, which targets medical facilities
globally and presents a serious threat to the health sector. The impact of ransomware …

Abstract The Internet of Things (IoT) is a rapidly expanding network of interconnected things
that use embedded sensors to gather and share data in real‐time. IoT technologies have …

Over the past decade, there has been a growing interest in the development of an artificial
pancreas for intraperitoneal insulin delivery. Intraperitoneal implantable pumps guarantee …

Modern Medical Devices (MMDs) are a rapidly growing field of medical technology, and
recent advances have allowed them to monitor and manage patients' health remotely. As …

The long-term success of organizations in a rapidly changing global economy is dependent
on organizational systems that are pegged at improving quality services which in turn …

Federated learning is a framework in machine learning that allows for training a model while
maintaining data privacy. Moreover, it allows clients with their own data to collaborate in …

Machine Learning Health Operations (MLHOps) is the combination of processes for reliable,
efficient, usable, and ethical deployment and maintenance of machine learning models in …

Due to the growth in the amount and type of connected devices, mainly IoT devices, new
scalable, lightweight and security-aware protocols, eg, CoAP and MQTT, have been defined …

The rapid evolution of information systems and the surge in data generation and
dissemination have fostered the emergence of Electronic Health Records (EHRs) …