Federated learning (FL) provides a distributed machine learning system that enables
participants to train using local data to create a shared model by eliminating the requirement …

Abstract The Internet of Medical Things (IoMT) has revolutionized the healthcare industry by
enabling physiological data collection using sensors, which are transmitted to remote …

Cybersecurity attacks that target software have become profitable and popular targets for
cybercriminals who consciously take advantage of web-based vulnerabilities and execute …

With the advancement in the Internet of Medical Things (IoMT) infrastructure, network
security issues have become a serious concern for hospitals and medical facilities. For this …

The rapid expansion of Internet of Things (IoT) devices presents unique challenges in
ensuring the security and privacy of interconnected systems. As cyberattacks become more …

In today's world, it is vital to have strong cybersecurity measures in place. To combat the
ever-evolving threats, adopting advanced models like cybersecurity mesh is necessary to …

The current medical diseases and infections necessitate advanced medical equipment
(medical devices) to bridge the gap between existing and predictable diseases. This has …

One of the new technological issues of this century is cybersecurity in the health domain.
Numerous types of research have been undertaken recently to identify weak points and …

Abstract Ambient Intelligence (AmI) in Internet of Things (IoT) has empowered healthcare
professionals to monitor, diagnose, and treat patients remotely. Besides, the AmI-IoT has …

The threat situation due to cyber attacks in hospitals is emerging and patient life is at risk.
One significant source of potential vulnerabilities is medical cyber-physical systems (MCPS) …