Emotion recognition in EEG signals using deep learning methods: A review

M Jafari, A Shoeibi, M Khodatars… - Computers in Biology …, 2023 - Elsevier
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …

[HTML][HTML] Swarm intelligence in internet of medical things: A review

R Alizadehsani, M Roshanzamir, NH Izadi, R Gravina… - Sensors, 2023 - mdpi.com
Continuous advancements of technologies such as machine-to-machine interactions and
big data analysis have led to the internet of things (IoT) making information sharing and …

[HTML][HTML] Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions

SF Ahmed, MSB Alam, S Afrin, SJ Rafa, N Rafa… - Information …, 2024 - Elsevier
Abstract The Internet of Medical Things (IoMT) has created a wide range of opportunities for
knowledge exchange in numerous industries. The opportunities include patient …

[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 …

[HTML][HTML] SafetyMed: a novel IoMT intrusion detection system using CNN-LSTM hybridization

N Faruqui, MA Yousuf, M Whaiduzzaman, AKM Azad… - Electronics, 2023 - mdpi.com
The Internet of Medical Things (IoMT) has become an attractive playground to
cybercriminals because of its market worth and rapid growth. These devices have limited …

[HTML][HTML] An Improved Mutual Information Feature Selection Technique for Intrusion Detection Systems in the Internet of Medical Things

M Alalhareth, SC Hong - Sensors, 2023 - mdpi.com
In healthcare, the Internet of Things (IoT) is used to remotely monitor patients and provide
real-time diagnoses, which is referred to as the Internet of Medical Things (IoMT). This …

Deep Q-network-based heuristic intrusion detection against edge-based SIoT zero-day attacks

S Shen, C Cai, Z Li, Y Shen, G Wu, S Yu - Applied Soft Computing, 2024 - Elsevier
How to process and classify zero-day attacks due to their huge damage to social Internet of
Things (SIoT) systems has become a hot research issue. To solve this issue, we propose a …

[HTML][HTML] TasLA: an innovative Tasmanian and Lichtenberg optimized attention deep convolution based data fusion model for IoMT smart healthcare

AO Khadidos, AO Khadidos, S Selvarajan… - Alexandria Engineering …, 2023 - Elsevier
Abstract The Internet of Medical Things (IoMT) bolstered the smart health care industry in
present times by enabling quicker patient monitoring and disease diagnosis. However, there …

Deep learning-based network intrusion detection in smart healthcare enterprise systems

V Ravi - Multimedia Tools and Applications, 2024 - Springer
Network-based intrusion detection (N-IDS) is an essential system inside an organization in a
smart healthcare enterprise system to prevent the system and its networks from network …

[HTML][HTML] IoT Intrusion Detection System Based on Machine Learning

B Xu, L Sun, X Mao, R Ding, C Liu - Electronics, 2023 - mdpi.com
With the rapid development of the Internet of Things (IoT), the number of IoT devices is
increasing dramatically, making it increasingly important to identify intrusions on these …