SafetyMed: a novel IoMT intrusion detection system using CNN-LSTM hybridization

N Faruqui, MA Yousuf, M Whaiduzzaman, AKM Azad… - Electronics, 2023 - mdpi.com
The Internet of Medical Things (IoMT) has become an attractive playground to
cybercriminals because of its market worth and rapid growth. These devices have limited …

Combatting ransomware in ZephyrOS-activated industrial IoT environments

U Tariq - Heliyon, 2024 - cell.com
The rapid growth of the Industrial Internet of Things (IIoT) has opened up new avenues for
cyber threats, with ransomware being a primary area of concern. In response to this …

Ransomware detection using stacked autoencoder for feature selection

M Nkongolo, M Tokmak - arXiv preprint arXiv:2402.11342, 2024 - arxiv.org
The aim of this study is to propose and evaluate an advanced ransomware detection and
classification method that combines a Stacked Autoencoder (SAE) for precise feature …

Prediction and comparison of burning rate of n-heptane pool fire in open space based on BPNN and XGBoost

P Xu, Y Bi, J Chen, S Wang, J Shi, S Huang… - Process Safety and …, 2024 - Elsevier
Pool fires pose a threat to the safety and environmental protection of industrial production.
The burning rate is one of the most important burning parameters that determines the …

Deep learning-empowered intrusion detection framework for the Internet of Medical Things environment

PG Shambharkar, N Sharma - Knowledge and Information Systems, 2024 - Springer
The fusion of Internet of Things (IoT) technology into healthcare, known as the Internet of
Medical Things (IoMT), has significantly enhanced medical treatment and operational …

Health Digital Twins Supported by Artificial Intelligence-based Algorithms and Extended Reality in Cardiology

Z Rudnicka, K Proniewska, M Perkins… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, significant efforts have been made to create Health Digital Twins (HDTs), digital
twins for clinical applications. Heart modeling is one of the fastest-growing fields, which …

Interpreting Deviant Heart Patterns: Applying MobileNet CNN Autoencoder for ECG Anomaly Detection

M Agarwal, KS Gill, N Thapliyal… - … Conference on Smart …, 2024 - ieeexplore.ieee.org
In order to identify abnormalities in electrocardiogram (ECG) data, this research study uses
the PTB Diagnostic ECG Database to examine the application of MobileNet (CNN) …

[PDF][PDF] SafetyMed: A Novel IoMT Intrusion Detection System Using CNN-LSTM Hybridization. Electronics 2023, 12, 3541

N Faruqui, MA Yousuf, M Whaiduzzaman, AKM Azad… - 2023 - academia.edu
The Internet of Medical Things (IoMT) has become an attractive playground to
cybercriminals because of its market worth and rapid growth. These devices have limited …