Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML
Abstract Internet of Medical Things (IoMT) supports traditional healthcare systems by
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …
Privacy in electronic health records: a systematic map** study
Main Electronic health record (EHR) applications are digital versions of paper-based patient
health information. Traditionally, medical records are made on paper. However, nowadays …
health information. Traditionally, medical records are made on paper. However, nowadays …
An efficient IoT based smart farming system using machine learning algorithms
This paper suggests an IoT based smart farming system along with an efficient prediction
method called WPART based on machine learning techniques to predict crop productivity …
method called WPART based on machine learning techniques to predict crop productivity …
An efficient and secure big data storage in cloud environment by using triple data encryption standard
MN Ramachandra, M Srinivasa Rao, WC Lai… - Big Data and Cognitive …, 2022 - mdpi.com
In recent decades, big data analysis has become the most important research topic. Hence,
big data security offers Cloud application security and monitoring to host highly sensitive …
big data security offers Cloud application security and monitoring to host highly sensitive …
[HTML][HTML] A comprehensive review and conceptual framework for cloud computing adoption in bioinformatics
BH Banimfreg - Healthcare Analytics, 2023 - Elsevier
The healthcare industry generates enormous amounts of data, particularly in genomics,
which require effective handling, storage, and analysis. Cloud computing offers a promising …
which require effective handling, storage, and analysis. Cloud computing offers a promising …
A review of big data and medical research
M Mallappallil, J Sabu, A Gruessner… - SAGE open …, 2020 - journals.sagepub.com
Universally, the volume of data has increased, with the collection rate doubling every 40
months, since the 1980s.“Big data” is a term that was introduced in the 1990s to include data …
months, since the 1980s.“Big data” is a term that was introduced in the 1990s to include data …
Internet of things for healthcare monitoring applications based on RFID clustering scheme
COVID-19 surprised the whole world by its quick and sudden spread. Coronavirus pushes
all community sectors: government, industry, academia, and nonprofit organizations to take …
all community sectors: government, industry, academia, and nonprofit organizations to take …
Anomaly events classification and detection system in critical industrial internet of things infrastructure using machine learning algorithms
Abstract Industrial Control System is used in the industrial process for reducing the human
factor burden and handling the complex industrial system process and communications …
factor burden and handling the complex industrial system process and communications …
Optimization assisted bidirectional gated recurrent unit for healthcare monitoring system in big-data
A substantial amount of health-related data has been produced as a result of the
development of technology and expert systems. Due to noise, formats, size, missing values …
development of technology and expert systems. Due to noise, formats, size, missing values …
Efficient data uncertainty management for health industrial internet of things using machine learning
In modern technologies, the industrial internet of things (IIoT) has gained rapid growth in the
fields of medical, transportation, and engineering. It consists of a self‐governing …
fields of medical, transportation, and engineering. It consists of a self‐governing …