Lightweight cryptography in IoT networks: A survey
With the advent of advanced technology, the IoT has made possible the connection of
numerous devices that can collect vast volumes of data. Hence, the demands of IoT security …
numerous devices that can collect vast volumes of data. Hence, the demands of IoT security …
[HTML][HTML] Healthcare Internet of Things (H-IoT): Current trends, future prospects, applications, challenges, and security issues
Advancements in Healthcare Internet of Things (H-IoT) systems have created new
opportunities and solutions for healthcare services, including the remote treatment and …
opportunities and solutions for healthcare services, including the remote treatment and …
[HTML][HTML] A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
In 2019, the world experienced the rapid outbreak of the Covid-19 pandemic creating an
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
[HTML][HTML] Internet of things security: challenges and key issues
Internet of Things (IoT) refers to a vast network that provides an interconnection between
various objects and intelligent devices. The three important components of IoT are sensing …
various objects and intelligent devices. The three important components of IoT are sensing …
A secure industrial internet of things (IIoT) framework for resource management in smart manufacturing
KA Abuhasel, MA Khan - IEEE Access, 2020 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) can transform an existing isolated industrial system to
a connected network. The IIoT and the related wireless connectivity requirements for …
a connected network. The IIoT and the related wireless connectivity requirements for …
Secure IoMT for disease prediction empowered with transfer learning in healthcare 5.0, the concept and case study
Identifying human diseases remains a difficult process, even in the age of advanced
information technology and the smart healthcare industry 5.0. In the smart healthcare …
information technology and the smart healthcare industry 5.0. In the smart healthcare …
[Retracted] An Intelligent and Reliable Hyperparameter Optimization Machine Learning Model for Early Heart Disease Assessment Using Imperative Risk Attributes
SI Ansarullah, S Mohsin Saif… - Journal of healthcare …, 2022 - Wiley Online Library
Heart disease is a severe disorder, which inflicts an adverse burden on all societies and
leads to prolonged suffering and disability. We developed a risk evaluation model based on …
leads to prolonged suffering and disability. We developed a risk evaluation model based on …
Systematic and critical review of rsa based public key cryptographic schemes: Past and present status
The interconnected digital world is generating enormous data that must be secured from
unauthorized access. Advancement in technologies and new innovative methods applied by …
unauthorized access. Advancement in technologies and new innovative methods applied by …
Towards secure intra-vehicle communications in 5G advanced and beyond: Vulnerabilities, attacks and countermeasures
Abstract Intelligent Connected Vehicle (ICV), as the product of the deep integration of
automobile, electronics, information, and artificial intelligence in the era of 5G advanced and …
automobile, electronics, information, and artificial intelligence in the era of 5G advanced and …
Improving the heart disease detection and patients' survival using supervised infinite feature selection and improved weighted random forest
Heart disease is the leading cause of death worldwide. A Machine Learning (ML) system
can detect heart disease in the early stages to mitigate mortality rates based on clinical data …
can detect heart disease in the early stages to mitigate mortality rates based on clinical data …