Guarding Digital Health: Deep Learning for Attack Detection in Medical IoT
K Vaisakhkrishnan, G Ashok, P Mishra… - Procedia Computer …, 2024 - Elsevier
Abstract The Internet of Medical Things (IoMT) has transformed the healthcare sector by
allowing for the continuous gathering, transfer, and analysis of medical data via networked …
allowing for the continuous gathering, transfer, and analysis of medical data via networked …
On Resource Consumption of Machine Learning in Communications Security
Machine learning (ML) has become extremely important in communications due to the
increasing complexity of networks and due to its promises of improved performance …
increasing complexity of networks and due to its promises of improved performance …
Comparative Analysis of Recurrent Neural Network over Convolutional Neural Network in Predicting R2l Attack in IoT Devices with Improved Accuracy and F1 Score
IJB Reddy, SM Basha - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
The main target of this study is to more accurately and efficiently predict the R2L attack on
IoT devices using Novel Recurrent Neural Network than Convolutional Neural Network …
IoT devices using Novel Recurrent Neural Network than Convolutional Neural Network …
Accuracy analysis in predicting R2L attack using convolutional neural network over multi layer perceptron in IoT devices
I Reddy, SM Basha - AIP Conference Proceedings, 2024 - pubs.aip.org
This study aims to use a new Convolutional Neural Network instead of a Multi Layer
Perceptron for R2L attack prediction for IoT devices. The goal is to enhance accuracy and F1 …
Perceptron for R2L attack prediction for IoT devices. The goal is to enhance accuracy and F1 …
[PDF][PDF] Resource Consumption Analysis of Distributed Machine Learning Models for 6G Security
Recently, we have been witnessing a revolution in multiple fields due to the development
and application of Artificial Intelligence (AI) and, in particular, of Machine Learning (ML). Its …
and application of Artificial Intelligence (AI) and, in particular, of Machine Learning (ML). Its …