[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 …
Prospect of internet of medical things: A review on security requirements and solutions
With the widespread and increasing use of Internet-of-Things (IoT) devices in all aspects of
daily life, a hopeful future for people, data, and processes is emerging. Extensive spans …
daily life, a hopeful future for people, data, and processes is emerging. Extensive spans …
[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …
connect to the Internet to collect and share data. The introduction of varied devices …
A particle swarm optimization and deep learning approach for intrusion detection system in internet of medical things
Integrating the internet of things (IoT) in medical applications has significantly improved
healthcare operations and patient treatment activities. Real-time patient monitoring and …
healthcare operations and patient treatment activities. Real-time patient monitoring 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 …
Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree
Billions of gadgets are already online, making the IoT an essential aspect of daily life.
However, the interconnected nature of IoT devices also leaves them open to cyber threats …
However, the interconnected nature of IoT devices also leaves them open to cyber threats …
[HTML][HTML] Edge computing in healthcare: Innovations, opportunities, and challenges
Edge computing promising a vision of processing data close to its generation point, reducing
latency and bandwidth usage compared with traditional cloud computing architectures, has …
latency and bandwidth usage compared with traditional cloud computing architectures, has …
Network Security in Cyberspace Using Machine Learning Techniques
Cyberspace has grown due to the widespread uses of the Internets and mobiles apps.
Attacks on the Internet are more likely to be automated and to last longer. Cyber security …
Attacks on the Internet are more likely to be automated and to last longer. Cyber security …
[HTML][HTML] Performance evaluation of metaheuristics-tuned recurrent neural networks for electroencephalography anomaly detection
D Pilcevic, M Djuric Jovicic, M Antonijevic… - Frontiers in …, 2023 - frontiersin.org
Electroencephalography (EEG) serves as a diagnostic technique for measuring brain waves
and brain activity. Despite its precision in capturing brain electrical activity, certain factors …
and brain activity. Despite its precision in capturing brain electrical activity, certain factors …
[PDF][PDF] Encryption with User Authentication Model for Internet of Medical Things Environment.
KS Riya, R Surendran… - … Automation & Soft …, 2023 - cdn.techscience.cn
Internet of Medical Things (IoMT) enabled e-healthcare has the potential to greately improve
conventional healthcare services significantly. However, security and privacy become major …
conventional healthcare services significantly. However, security and privacy become major …