Reinforcement Learning (RL) is a machine learning (ML) technique to learn sequential
decision-making in complex problems. RL is inspired by trial-and-error based human/animal …

Healthcare information security is becoming a significant responsibility for all healthcare
organisations and individuals. Innovative medical equipment and healthcare apps are vital …

Recent advances in the Internet of Medical Things (IoMT) have impacted traditional medical
treatment and have evolved data communications in the Smart Healthcare scenario …

There exists a rising concern on security of healthcare data and service. Even small lost,
stolen, displaced, hacked, or communicated in personal health data could bring huge …

The concept of federated learning (FL) is becoming increasingly popular as a method for
training collaborative models without loss the sensitive information. The term has become …

Coexploitation behavior, referring to multiple software vulnerabilities being exploited jointly
by one or more exploits, brings enormous challenges to the prevention and remediation of …

Abstract The Internet of Things (IoT) is increasingly integrated into daily life, particularly in
healthcare, through the Internet of Medical Things (IoMT). IoMT devices support services like …

Ransomware continues to pose a significant threat to cybersecurity, particularly affecting
critical systems running on Linux. The novel application of the random forest algorithm for …

Abstract The Internet of Medical Things (IoMT) is a bionetwork of allied medical devices,
sensors, wearable biosensor devices, etc. It is gradually reforming the healthcare industry by …

Network assaults pose significant security concerns to network services; hence, new
technical solutions must be used to enhance the efficacy of intrusion detection systems …