Security and privacy management in Internet of Medical Things (IoMT): a synthesis

R Hireche, H Mansouri, ASK Pathan - Journal of Cybersecurity and …, 2022 - mdpi.com
The Internet of Medical Things (IoMT) has become a strategic priority for future e-healthcare
because of its ability to improve patient care and its scope of providing more reliable clinical …

[PDF][PDF] A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches

SS Hameed, WH Hassan, LA Latiff… - PeerJ Computer …, 2021 - peerj.com
Background The Internet of Medical Things (IoMTs) is gradually replacing the traditional
healthcare system. However, little attention has been paid to their security requirements in …

A hybrid lightweight system for early attack detection in the IoMT fog

SS Hameed, A Selamat, L Abdul Latiff, SA Razak… - Sensors, 2021 - mdpi.com
Cyber-attack detection via on-gadget embedded models and cloud systems are widely used
for the Internet of Medical Things (IoMT). The former has a limited computation ability …

Intelligent approach for optimal sizing in photovoltaic panel-battery system and optimizing smart grid energy

FB Naceur, CB Salah, AJ Telmoudi… - Transactions of the …, 2021 - journals.sagepub.com
Renewable energy plays a very important role in solving energy problems, and solar energy
is one of the most important renewable sources, especially in sunny countries. This paper …

[PDF][PDF] A Hybrid Model based on Convolutional Neural Networks and Long Short-term Memory for Rest Tremor Classification.

J Fourati, M Othmani, H Ltifi - ICAART (3), 2022 - researchgate.net
Parkinson's disease is a neurodegenerative disease, in which tremor is the main symptom.
Deep brain stimulation can help manage a broad range of neurological ailments such as …

Security and privacy of biomedical data in IoMT

A Kumbhare, PK Thakur - … Computing for Internet of Medical Things, 2022 - taylorfrancis.com
Over the past decades, healthcare has seen a rapid transition from a traditional specialist
approach to a patient-centered approach, especially in the healthcare system, ie, smart …

Trends in Malware Detection in IoHT Using Deep Learning: A Review

MV Arisoy - Practical Artificial Intelligence for Internet of Medical …, 2023 - taylorfrancis.com
Artificial intelligence technology, which is used extensively in fields such as education,
industry, and military defense systems today, and machine learning, which is a subbranch of …

Security issue reviewed and resolved: Heart disease detection

RK Kaur, S Kaur - … on Artificial Intelligence for Innovations in …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) is one of the most promising technologies that have taken
industrial and academic attention over the past few years. This technology brings new …

A Fog-Based Threat Detection for Telemetry Smart Medical Devices Using a Real-Time and Lightweight Incremental Learning Method

A Selamat, SS Hameed, LA Latiff, SA Razak… - … of Research on New …, 2022 - igi-global.com
Smart telemetry medical devices do not have sufficient security measures, making them
weak against different attacks. Machine learning (ML) has been broadly used for cyber …

Trends in Malware 7 Detection in IoHT Using Deep Learning

MV Arisoy - Practical Artificial Intelligence for Internet of Medical …, 2023 - books.google.com
The Internet of Things (IoT) is a type of network that integrates various types of sensors and
communication protocols, allowing many devices such as smartphones, home appliances …