Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review

S Messinis, N Temenos, NE Protonotarios… - Computers in Biology …, 2024 - Elsevier
Over the past five years, interest in the literature regarding the security of the Internet of
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …

[HTML][HTML] A stacking ensemble of deep learning models for IoT intrusion detection

R Lazzarini, H Tianfield, V Charissis - Knowledge-Based Systems, 2023 - Elsevier
The number of Internet of Things (IoT) devices has increased considerably in the past few
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …

Artificial Intelligence Techniques for Securing Fog Computing Environments: Trends, Challenges, and Future Directions

D Alsadie - IEEE Access, 2024 - ieeexplore.ieee.org
Fog computing, an extension of cloud computing, enhances capabilities by processing data
closer to the source, thereby addressing latency and bandwidth issues inherent in traditional …

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 …

An Adaptive Intrusion Detection System in the Internet of Medical Things Using Fuzzy-Based Learning

M Alalhareth, SC Hong - Sensors, 2023 - mdpi.com
The Internet of Medical Things (IoMT) is a growing trend within the rapidly expanding
Internet of Things, enhancing healthcare operations and remote patient monitoring …

Empowering cyberattack identification in IoHT networks with neighborhood component-based improvised long short-term memory

M Kumar, C Kim, Y Son, SK Singh… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Cybersecurity has become an inevitable concern in the healthcare industry due to the rapid
growth of the Internet of Health Things (IoHT). The IoHT is revolutionizing healthcare by …

Blockchain-assisted machine learning with hybrid metaheuristics-empowered cyber attack detection and classification model

A Albakri, B Alabdullah, F Alhayan - Sustainability, 2023 - mdpi.com
Cyber attack detection is the process of detecting and responding to malicious or
unauthorized activities in networks, computer systems, and digital environments. The …

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 …

Harris-Hawk-Optimization-Based Deep Recurrent Neural Network for Securing the Internet of Medical Things

S Abbas, GA Sampedro, M Abisado, A Almadhor… - Electronics, 2023 - mdpi.com
The healthcare industry has recently shown much interest in the Internet of Things (IoT). The
Internet of Medical Things (IoMT) is a component of the IoTs in which medical appliances …

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) …