[HTML][HTML] Medical 4.0 technologies for healthcare: Features, capabilities, and applications
Abstract The Fourth Industrial Revolution may help many sectors and industries, whereas
healthcare will be significantly impacted. Medical advances will be swifter, better and more …
healthcare will be significantly impacted. Medical advances will be swifter, better and more …
[PDF][PDF] The significance of machine learning and deep learning techniques in cybersecurity: A comprehensive review
People in the modern era spend most of their lives in virtual environments that offer a range
of public and private services and social platforms. Therefore, these environments need to …
of public and private services and social platforms. Therefore, these environments need to …
[HTML][HTML] Towards insighting cybersecurity for healthcare domains: A comprehensive review of recent practices and trends
Healthcare information security is becoming a significant responsibility for all healthcare
organisations and individuals. Innovative medical equipment and healthcare apps are vital …
organisations and individuals. Innovative medical equipment and healthcare apps are vital …
[HTML][HTML] Artificial intelligence for IoMT security: A review of intrusion detection systems, attacks, datasets and Cloud-Fog-Edge architectures
Recent advances in the Internet of Medical Things (IoMT) have impacted traditional medical
treatment and have evolved data communications in the Smart Healthcare scenario …
treatment and have evolved data communications in the Smart Healthcare scenario …
Survey of Machine Learning based intrusion detection methods for Internet of Medical Things
Abstract The Internet of Medical Things (IoMT) has revolutionized the healthcare industry by
enabling physiological data collection using sensors, which are transmitted to remote …
enabling physiological data collection using sensors, which are transmitted to remote …
A quantum trust and consultative transaction-based blockchain cybersecurity model for healthcare systems
Many researchers have been interested in healthcare cybersecurity for a long time since it
can improve the security of patient and health record data. As a result, a lot of research is …
can improve the security of patient and health record data. As a result, a lot of research is …
[HTML][HTML] Deep neural networks in the cloud: Review, applications, challenges and research directions
Deep neural networks (DNNs) are currently being deployed as machine learning technology
in a wide range of important real-world applications. DNNs consist of a huge number of …
in a wide range of important real-world applications. DNNs consist of a huge number of …
Application of artificial intelligence to network forensics: Survey, challenges and future directions
Network forensics focuses on the identification and investigation of internal and external
network attacks, the reverse engineering of network protocols, and the uninstrumented …
network attacks, the reverse engineering of network protocols, and the uninstrumented …
Detection of botnet attacks against industrial IoT systems by multilayer deep learning approaches
Industry 4.0 is the next revolution in manufacturing technology that is going to change the
production and distribution of goods and services within the following decade. Powered by …
production and distribution of goods and services within the following decade. Powered by …
Cloud intrusion detection framework using variational auto encoder Wasserstein generative adversarial network optimized with archerfish hunting optimization …
The cloud computing environment has been severely harmed by security issues, which has
a negative impact on the healthy and sustainable development of the cloud. Intrusion …
a negative impact on the healthy and sustainable development of the cloud. Intrusion …