[HTML][HTML] A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique
In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a
tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge …
tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge …
[HTML][HTML] MapReduce based intelligent model for intrusion detection using machine learning technique
With the emergence of the Internet of Things (IoT), the computer networks' phenomenal
expansion, and enormous relevant applications, data is continuously increasing. In this way …
expansion, and enormous relevant applications, data is continuously increasing. In this way …
Machine learning and internet of things applications in enterprise architectures: Solutions, challenges, and open issues
The rapid growth of the Internet of Things (IoT) has led to its widespread adoption in various
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …
Analysis of Extreme Learning Machines (ELMs) for intelligent intrusion detection systems: A survey
The ever-increasing interconnectedness of our world, fueled by technological
advancements across industries, has made network security a paramount concern. This …
advancements across industries, has made network security a paramount concern. This …
Low rate DDoS detection using weighted federated learning in SDN control plane in IoT network
The Internet of things (IoT) has opened new dimensions of novel services and computing
power for modern living standards by introducing innovative and smart solutions. Due to the …
power for modern living standards by introducing innovative and smart solutions. Due to the …
Enhancing network intrusion detection using an ensemble voting classifier for internet of things
In the context of 6G technology, the Internet of Everything aims to create a vast network that
connects both humans and devices across multiple dimensions. The integration of smart …
connects both humans and devices across multiple dimensions. The integration of smart …
A lightweight intrusion detection method for IoT based on deep learning and dynamic quantization
Z Wang, H Chen, S Yang, X Luo, D Li, J Wang - PeerJ Computer Science, 2023 - peerj.com
Intrusion detection ensures that IoT can protect itself against malicious intrusions in
extensive and intricate network traffic data. In recent years, deep learning has been …
extensive and intricate network traffic data. In recent years, deep learning has been …
Improving clinical decision support systems: explainable AI for enhanced disease prediction in healthcare
A Rehman, A Farrakh, UF Mushtaq - International Journal of …, 2023 - ijcis.com
AI has changed many industries, including healthcare, by giving doctors and researchers
better ways to predict and diagnose diseases. But the lack of transparency in AI models …
better ways to predict and diagnose diseases. But the lack of transparency in AI models …
Emerging Technologies for Enhancing Robust Cybersecurity Measures for Business Intelligence in Healthcare 5.0
AR Sakhawat, A Fatima, S Abbas, M Ahmad… - … to Protect Business …, 2024 - igi-global.com
Healthcare 5.0 represents the next phase in healthcare evolution. It aims to harness the
creativity and expertise of healthcare professionals, integrating them with efficient …
creativity and expertise of healthcare professionals, integrating them with efficient …
An Intelligent Approach for Smart Home Energy Management System Empowered with Machine learning Techniques
A Rehman, A Farrakh - … Journal of Computational and Innovative Sciences, 2022 - ijcis.com
Currently, energy is the most important necessity for humans. With new technology
advancements and increased use of electric vehicles, daily energy consumption is …
advancements and increased use of electric vehicles, daily energy consumption is …