Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …
Healthcare As a Service (HAAS): CNN-based cloud computing model for ubiquitous access to lung cancer diagnosis
The field of automated lung cancer diagnosis using Computed Tomography (CT) scans has
been significantly advanced by the precise predictions offered by Convolutional Neural …
been significantly advanced by the precise predictions offered by Convolutional Neural …
Towards a generalized hybrid deep learning model with optimized hyperparameters for malicious traffic detection in the Industrial Internet of Things
B Babayigit, M Abubaker - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Detecting malicious attacks in Industrial Internet of Things (IIoT) is crucial to minimize
downtime and financial losses. However, existing deep learning (DL) research faces …
downtime and financial losses. However, existing deep learning (DL) research faces …
Enhanced Random Forest Classifier with K-Means Clustering (ERF-KMC) for Detecting and Preventing Distributed-Denial-of-Service and Man-in-the-Middle Attacks in …
AAJ Al-Abadi, MB Mohamed, A Fakhfakh - Computers, 2023 - mdpi.com
In recent years, the combination of wireless body sensor networks (WBSNs) and the Internet
ofc Medical Things (IoMT) marked a transformative era in healthcare technology. This …
ofc Medical Things (IoMT) marked a transformative era in healthcare technology. This …
[HTML][HTML] A deep learning-based novel hybrid CNN-LSTM architecture for efficient detection of threats in the IoT ecosystem
A Nazir, J He, N Zhu, SS Qureshi, SU Qureshi… - Ain Shams Engineering …, 2024 - Elsevier
Abstract The Internet of Things (IoT) landscape is witnessing rapid growth, driven by
continuous innovation and a simultaneous increase in cybersecurity threats. As these …
continuous innovation and a simultaneous increase in cybersecurity threats. As these …
A novel IDS with a dynamic access control algorithm to detect and defend intrusion at IoT nodes
The Internet of Things (IoT) is the underlying technology that has enabled connecting daily
apparatus to the Internet and enjoying the facilities of smart services. IoT marketing is …
apparatus to the Internet and enjoying the facilities of smart services. IoT marketing is …
A Comparative Study of Anomaly Detection Techniques for IoT Security using AMoT (Adaptive Machine Learning for IoT Threats)
D Alsalman - IEEE Access, 2024 - ieeexplore.ieee.org
Anomaly detection is a critical aspect of various applications, including security, healthcare,
and network monitoring. In this study, we introduce FusionNet, an innovative ensemble …
and network monitoring. In this study, we introduce FusionNet, an innovative ensemble …
Detecting lateral movement: A systematic survey
Within both the cyber kill chain and MITRE ATT&CK frameworks, Lateral Movement (LM) is
defined as any activity that allows adversaries to progressively move deeper into a system in …
defined as any activity that allows adversaries to progressively move deeper into a system in …
DPMS: Data-driven promotional management system of universities using deep learning on social media
SocialMedia Marketing (SMM) has become a mainstream promotional scheme. Almost
every business promotes itself through social media, and an educational institution is no …
every business promotes itself through social media, and an educational institution is no …
Deep-IDS: A Real-Time Intrusion Detector for IoT Nodes Using Deep Learning
The Internet of Things (IoT) represents a swiftly expanding sector that is pivotal in driving the
innovation of today's smart services. However, the inherent resource-constrained nature of …
innovation of today's smart services. However, the inherent resource-constrained nature of …