Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey
The main objective of feature selection is to improve learning performance by selecting
concise and informative feature subsets, which presents a challenging task for machine …
concise and informative feature subsets, which presents a challenging task for machine …
[HTML][HTML] Artificial intelligence for IoMT security: A review of intrusion detection systems, attacks, datasets and Cloud-Fog-Edge architectures
ML Hernandez-Jaimes, A Martinez-Cruz… - Internet of Things, 2023 - Elsevier
Recent advances in the Internet of Medical Things (IoMT) have impacted traditional medical
treatment and have evolved data communications in the Smart Healthcare scenario …
treatment and have evolved data communications in the Smart Healthcare scenario …
Artificial intelligence‐based blockchain solutions for intelligent healthcare: A comprehensive review on privacy preserving techniques
While blockchain technology (BT) is considered secure, there are several vulnerabilities that
can breach its security. The study in artificial intelligence (AI) and BT is widely popular due to …
can breach its security. The study in artificial intelligence (AI) and BT is widely popular due to …
Real-time health monitoring in WBANs using hybrid metaheuristic-driven machine learning routing protocol (MDML-RP)
Wireless body area networks (WBANs) are helpful for remote health monitoring, especially
during the COVID-19 pandemic. Due to the limited batteries of bio-sensors, energy-efficient …
during the COVID-19 pandemic. Due to the limited batteries of bio-sensors, energy-efficient …
A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
Abstract The Internet of Things (IoT) is extensively used in modern-day life, such as in smart
homes, intelligent transportation, etc. However, the present security measures cannot fully …
homes, intelligent transportation, etc. However, the present security measures cannot fully …
A Systematic Review of IoT Security: Research Potential, Challenges, and Future Directions
W Fei, H Ohno, S Sampalli - ACM Computing Surveys, 2023 - dl.acm.org
The Internet of Things (IoT) encompasses a network of physical objects embedded with
sensors, software, and data processing technologies that can establish connections and …
sensors, software, and data processing technologies that can establish connections and …
A review of Machine Learning (ML)-based IoT security in healthcare: A dataset perspective
Abstract The Internet of Things (IoT) is transforming society by connecting businesses and
optimizing systems across industries. Its impact has been felt in healthcare, where it has the …
optimizing systems across industries. Its impact has been felt in healthcare, where it has the …
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 …
LSO-CSL: Light spectrum optimizer-based convolutional stacked long short term memory for attack detection in IoT-based healthcare applications
T Thulasi, K Sivamohan - Expert Systems with Applications, 2023 - Elsevier
One of the new technological issues of this century is cybersecurity in the health domain.
Numerous types of research have been undertaken recently to identify weak points and …
Numerous types of research have been undertaken recently to identify weak points and …
Design of advanced intrusion detection systems based on hybrid machine learning techniques in hierarchically wireless sensor networks
Wireless sensor networks (WSNs) are an emerging military and civilian technology that uses
sensors. Sensor networks are hierarchical and chaotic in remote, unmonitored sites …
sensors. Sensor networks are hierarchical and chaotic in remote, unmonitored sites …