Results 41 to 50 of about 167,742,021 (128)

A Survey on Security and Privacy issues of IoMT (Internet of Medical Things) [PDF]

, 2022
To improve quality in their services and patient’s experience, healthcare organizations preferring Internet of medical things (IoMT). IoMT means connecting all medical things via internet.
kathi, Anoosha
core  

L2D2: A Novel LSTM Model for Multi-Class Intrusion Detection Systems in the Era of IoMT

IEEE Access
The rapid growth of IoT has significantly changed modern technology by allowing devices, systems, and services to connect easily across different areas.
Gokhan Akar, Shaaban Sahmoud, Mustafa Onat, Unal Cavusoglu, Emmanuel Malondo   +4 more
doaj   +1 more source

An Intrusion Detection System for Internet of Medical Things

, 2021
The term IoMT (Internet of Medical Things) describes the connection of medical devices and software applications relating to healthcare information to the Internet using networking technologies.
Oladimeji, Deborah
core  

Topologies in the Internet of Medical Things (IoMT), literature review

, 2022
The bibliographic review is a fundamental phase in a research project, and it must guarantee that the most relevant information in the field of study is obtained.
Teresa Olivares, Francisco Delicado, Wilson Gustavo Chango Sailema, oDelicado, Francisc, Chango, Wilson, Olivares, Teresa   +5 more
core   +1 more source

Future of Drug Discovery: The Synergy of Edge Computing, Internet of Medical Things, and Deep Learning

, 2023
The global spread of COVID-19 highlights the urgency of quickly finding drugs and vaccines and suggests that similar challenges will arise in the future.
Alireza Jamshidi, Lukas Hauer, Ayman S. El-Baz, Omid Moztarzadeh, Mohammad (Behdad) Jamshidi, Ahmed Abdelgawad   +5 more
core   +1 more source

Incorporating patient concerns into design requirements for IoMT-based systems: The fall detection case study

Health Informatics Journal, 2021
Internet of Medical Things (IoMT) systems are envisioned to provide high-quality healthcare services to patients in the comfort of their home, utilizing cutting-edge Internet of Things (IoT) technologies and medical sensors.
Mara Nikolaidou, Christos Kotronis, Ioannis Routis, Elena Politi, George Dimitrakopoulos, Dimosthenis Anagnostopoulos, Hamza Djelouat, Abbes Amira, Faycal Bensaali   +8 more
doaj   +1 more source

Multi-Receiver Conditional Anonymous Singcryption for IoMT Crowdsourcing

, 2023
The advent of the Internet of Medical Things (IoMT) has greatly fastened the digitization of current medical institutions. Mobile crowdsourcing is an effective strategy for health data collection in IoMT environments to overcome the data-scarce problem ...
Wang, X, Wang, Y, Li, M, Zhang, LY, Chen, R, Zhang, X, Dai, HN   +6 more
core   +1 more source

Implementing Anomaly-Based Intrusion Detection for Resource-Constrained Devices in IoMT Networks

Sensors
Internet of Medical Things (IoMT) technology has emerged from the introduction of the Internet of Things in the healthcare sector. However, the resource-constrained characteristics and heterogeneity of IoMT networks make these networks susceptible to ...
Georgios Zachos, Georgios Mantas, Kyriakos Porfyrakis, Jonathan Rodriguez   +3 more
doaj   +1 more source

Octopus: A Novel Approach for Health Data Masking and Retrieving Using Physical Unclonable Functions and Machine Learning

Sensors, 2023
Health equipment are used to keep track of significant health indicators, automate health interventions, and analyze health indicators. People have begun using mobile applications to track health characteristics and medical demands because devices are ...
Sagar Satra, Pintu Kumar Sadhu, Venkata P. Yanambaka, Ahmed Abdelgawad   +3 more
doaj   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source