[HTML][HTML] Detection of distributed denial of service (DDoS) attacks in IOT based monitoring system of banking sector using machine learning models
Cyberattacks can trigger power outages, military equipment problems, and breaches of
confidential information, ie, medical records could be stolen if they get into the wrong hands …
confidential information, ie, medical records could be stolen if they get into the wrong hands …
Hierarchical federated learning based anomaly detection using digital twins for smart healthcare
Internet of Medical Things (IoMT) is becoming ubiquitous with a proliferation of smart
medical devices and applications used in smart hospitals, smart-home based care, and …
medical devices and applications used in smart hospitals, smart-home based care, and …
[HTML][HTML] Secure data sharing with blockchain for remote health monitoring applications: a review
Abstract Remote Health Monitoring (RHM) is going to reinvent the future healthcare industry
and bring about abundant value to hospitals, doctors, and patients by overcoming the many …
and bring about abundant value to hospitals, doctors, and patients by overcoming the many …
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) …
Artificial Intelligence driven security model for Internet of Medical Things (IoMT)
The Internet of Medical Things (IoMT) has been applied to provide health care facilities for
elders and parents. Remote health care is essential for providing scarce resources and …
elders and parents. Remote health care is essential for providing scarce resources and …
Study on Healthcare Security System-Integrated Internet of Things (IoT)
The internet of things (IoT) has the potential to transform healthcare by fusing the most
significant technological and scientific advances in the fields of automation, mobility, and …
significant technological and scientific advances in the fields of automation, mobility, and …
[HTML][HTML] Deep learning based classification of sheep behaviour from accelerometer data with imbalance
KE Turner, A Thompson, I Harris, M Ferguson… - Information Processing …, 2023 - Elsevier
Classification of sheep behaviour from a sequence of tri-axial accelerometer data has the
potential to enhance sheep management. Sheep behaviour is inherently imbalanced (eg …
potential to enhance sheep management. Sheep behaviour is inherently imbalanced (eg …
Autoencoder-based anomaly detection in smart farming ecosystem
M Adkisson, JC Kimmell, M Gupta… - … Conference on Big …, 2021 - ieeexplore.ieee.org
The inclusion of Internet of Things (IoT) devices is growing rapidly in all application domains.
Smart Farming uses IoT devices to increase efficiency and optimize farming operations …
Smart Farming uses IoT devices to increase efficiency and optimize farming operations …
Dlacb: Deep learning based access control using blockchain
AJ Akbarfam, S Barazandeh, H Maleki… - arXiv preprint arXiv …, 2023 - arxiv.org
In general, deep learning models use to make informed decisions immensely. Developed
models are mainly based on centralized servers, which face several issues, including …
models are mainly based on centralized servers, which face several issues, including …
Secure and efficient privacy-preserving authentication scheme using cuckoo filter in remote patient monitoring network
With the ubiquitous advancement in smart medical devices and systems, the potential of
Remote Patient Monitoring (RPM) network is evolving in modern healthcare systems. The …
Remote Patient Monitoring (RPM) network is evolving in modern healthcare systems. The …