Survey of Machine Learning based intrusion detection methods for Internet of Medical Things
Abstract The Internet of Medical Things (IoMT) has revolutionized the healthcare industry by
enabling physiological data collection using sensors, which are transmitted to remote …
enabling physiological data collection using sensors, which are transmitted to remote …
[HTML][HTML] A review of privacy enhancement methods for federated learning in healthcare systems
Federated learning (FL) provides a distributed machine learning system that enables
participants to train using local data to create a shared model by eliminating the requirement …
participants to train using local data to create a shared model by eliminating the requirement …
[HTML][HTML] An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0
Cybersecurity attacks that target software have become profitable and popular targets for
cybercriminals who consciously take advantage of web-based vulnerabilities and execute …
cybercriminals who consciously take advantage of web-based vulnerabilities and execute …
[HTML][HTML] A fuzzy-based duo-secure multi-modal framework for IoMT anomaly detection
With the advancement in the Internet of Medical Things (IoMT) infrastructure, network
security issues have become a serious concern for hospitals and medical facilities. For this …
security issues have become a serious concern for hospitals and medical facilities. For this …
[HTML][HTML] A user-centric privacy-preserving authentication protocol for IoT-AmI environments
Abstract Ambient Intelligence (AmI) in Internet of Things (IoT) has empowered healthcare
professionals to monitor, diagnose, and treat patients remotely. Besides, the AmI-IoT has …
professionals to monitor, diagnose, and treat patients remotely. Besides, the AmI-IoT has …
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 …
Electronic Devices in the Artificial Intelligence of the Internet of Medical Things (AIoMT)
The current medical diseases and infections necessitate advanced medical equipment
(medical devices) to bridge the gap between existing and predictable diseases. This has …
(medical devices) to bridge the gap between existing and predictable diseases. This has …
Intrusion Detection based on Federated Learning: a systematic review
JL Hernandez-Ramos, G Karopoulos… - arXiv preprint arXiv …, 2023 - arxiv.org
The evolution of cybersecurity is undoubtedly associated and intertwined with the
development and improvement of artificial intelligence (AI). As a key tool for realizing more …
development and improvement of artificial intelligence (AI). As a key tool for realizing more …
Attack detection for medical cyber-physical systems–a systematic literature review
SB Weber, S Stein, M Pilgermann, T Schrader - IEEE Access, 2023 - ieeexplore.ieee.org
The threat situation due to cyber attacks in hospitals is emerging and patient life is at risk.
One significant source of potential vulnerabilities is medical cyber-physical systems (MCPS) …
One significant source of potential vulnerabilities is medical cyber-physical systems (MCPS) …
A three-way decision method based on cumulative prospect theory for the hierarchical diagnosis and treatment system of chronic diseases
M Zhao, Y Wang, X Meng, H Liao - Applied Soft Computing, 2023 - Elsevier
With the increase in the number of patients with chronic diseases, the contradiction between
medical resources and the demand for medical services is increasingly stressed. The …
medical resources and the demand for medical services is increasingly stressed. The …