In this paper, we propose hybrid consensus algorithms that combine machine learning (ML)
techniques to address the challenges and vulnerabilities in blockchain networks …

In the domain of cyber-physical systems, wireless sensor networks (WSNs) play a pivotal
role as infrastructures, encompassing both stationary and mobile sensors. These sensors …

The growing complexity of security threats and the pervasive prevalence of cyberattacks
have become more apparent in the present era, and the advent of big data, characterized by …

Cybersecurity is crucial for protecting the privacy of digital systems, maintaining economic
stability, and ensuring national security. This study presents a comprehensive approach to …

Abstract Integrating Internet of Medical Things (IoMT) devices into healthcare has enhanced
patient care, enabling real-time data exchange and remote monitoring, yet it also presents …

The Internet of Medical Things (IoMT) heralds a transformative era in healthcare, with the
potential to revolutionize patient care, healthcare services, and medical research. As with all …

The Internet of Medical Things (IoMT) has significantly advanced healthcare, but it has also
brought about critical security challenges. Traditional security solutions struggle to keep …

Anomaly detection is a critical aspect of various applications, including security, healthcare,
and network monitoring. In this study, we introduce FusionNet, an innovative ensemble …

With the speedy progression and adoption of IoT devices in modern self-driving vehicles
(SDVs), autonomous driving industry is gradually reforming its capabilities to provide better …

The Internet of Medical Things (IoMT) has revolutionized healthcare with remote patient
monitoring and real-time diagnosis, but securing patient data remains a critical challenge …