Cryptography algorithms for enhancing IoT security

F Thabit, O Can, AO Aljahdali, GH Al-Gaphari… - Internet of Things, 2023 - Elsevier
In today's fast-paced world, a new technology paradigm known as the Internet of Things
(IoT) is advancing every business. It provides communication between the digital and …

A review of privacy and security of edge computing in smart healthcare systems: issues, challenges, and research directions

A Alzu'bi, A Alomar, S Alkhaza'leh… - Tsinghua Science …, 2024 - ieeexplore.ieee.org
The healthcare industry is rapidly adapting to new computing environments and
technologies. With academics increasingly committed to developing and enhancing …

The blockchain technologies in healthcare: prospects, obstacles, and future recommendations; lessons learned from digitalization

AF Abbas, NA Qureshi, N Khan, R Chandio, J Ali - 2022 - ir.unikl.edu.my
For today's healthcare data management systems, fundamental problems are data
transparency, traceability, immutability, audit, data provenance, flexible access, trust …

Comparison of Accuracy and Sensitivity in Liver Cancer Segmentation of Magnetic Resonance Images using Convolutional Neural Network in Comparison with …

S Charan, G Uganya, MN Kumar - 2022 14th International …, 2022 - ieeexplore.ieee.org
The main aim of this work is to detect liver cancer by segmentation of magnetic resonance
images using Convolutional Neural Network in comparison of accuracy and sensitivity with …

Horizoning recent trends in the security of smart cities: Exploratory analysis using latent semantic analysis

S Sharma, N Mishra - Journal of Intelligent & Fuzzy Systems, 2024 - content.iospress.com
The expeditious advancement and widespread implementation of intelligent urban
infrastructure have yielded manifold advantages, albeit concurrently engendering novel …

Secure and privacy in healthcare data using quaternion based neural network and encoder-elliptic curve deep neural network with blockchain on the cloud …

P Suganthi, R Kavitha - Sādhanā, 2023 - Springer
The security and privacy of healthcare data are crucial aspects within the healthcare
industry, as accurate diagnoses rely on medical professionals accessing patient healthcare …

A critical review of the state of computer security in the health sector

R Jáuregui-Velarde, DH Celis, CY Arias… - Bulletin of Electrical …, 2023 - beei.org
There is growing concern about IT security in the healthcare sector due to the number of
cyberattacks. The objective of the review is to analyze the state of adoption of computer …

IOT based Novel speedy Detection of Forest fire using Sensors with improved accuracy by sensing Temperature and Atmospheric Carbon Dioxide Level using Node …

PR Reddy, P Kalyanasundaram… - 2022 14th International …, 2022 - ieeexplore.ieee.org
The main objective of this research is to detect the forest fire by sensing temperature and
atmospheric carbon dioxide (CO2) levels to prevent the forest fire and to provide exact …

Detection of forest fire using support vector machine in comparison with random forest to measure accuracy, precision and recall

I Susmitha, V Sivasamy - 2022 14th International Conference …, 2022 - ieeexplore.ieee.org
Machine learning techniques are widely used in forest fire detection due to its accurate
results in detection. The main objective of this proposed work is to evaluate the performance …

Development of secure and authentic access controlling techniques using the pushback request response (PRR) approach for blockchain healthcare applications

M Venkatesan, P Mani - Optical and Quantum Electronics, 2024 - Springer
Access control systems have become integral to every organization's defensive arsenal to
protect sensitive information and ensure that businesses comply with data privacy …