Intelligent ai-based healthcare cyber security system using multi-source transfer learning method
C Chakraborty, SM Nagarajan, GG Devarajan… - ACM Transactions on …, 2023 - dl.acm.org
Cyber-security intelligence have made a great impact over healthcare industry where
several researchers are developing new techniques to improve security for healthcare …
several researchers are developing new techniques to improve security for healthcare …
Efficient cyber attack detection on the internet of medical things-smart environment based on deep recurrent neural network and machine learning algorithms
YK Saheed, MO Arowolo - IEEE Access, 2021 - ieeexplore.ieee.org
Information and communication technology (ICT) advancements have altered the entire
computing paradigm. As a result of these improvements, numerous new channels of …
computing paradigm. As a result of these improvements, numerous new channels of …
A secure ensemble learning-based fog-cloud approach for cyberattack detection in IoMT
The Internet of Medical Things (IoMT) effectively tackles several shortcomings of
conventional healthcare systems. It includes medical personnel shortages, patient care …
conventional healthcare systems. It includes medical personnel shortages, patient care …
Dew-cloud-based hierarchical federated learning for intrusion detection in IoMT
The coronavirus pandemic has overburdened medical institutions, forcing physicians to
diagnose and treat their patients remotely. Moreover, COVID-19 has made humans more …
diagnose and treat their patients remotely. Moreover, COVID-19 has made humans more …
Voting-based ensemble learning approach for cyber attacks detection in Industrial Internet of Things
Abstract The Industrial Internet of Things (IIoT) is a fast developing interconnection of smart
technologies that have revolutionised the way the industries work by combining sensors and …
technologies that have revolutionised the way the industries work by combining sensors and …
[HTML][HTML] A hybrid deep learning model with self-improved optimization algorithm for detection of security attacks in IoT environment
With the growth of the Internet of Things (IoT), security attacks are also rising gradually.
Numerous centralized mechanisms have been introduced in the recent past for the detection …
Numerous centralized mechanisms have been introduced in the recent past for the detection …
[HTML][HTML] Enhanced cyber attack detection process for internet of health things (IoHT) devices using deep neural network
KP Vijayakumar, K Pradeep, A Balasundaram… - Processes, 2023 - mdpi.com
Internet of Health Things plays a vital role in day-to-day life by providing electronic
healthcare services and has the capacity to increase the quality of patient care. Internet of …
healthcare services and has the capacity to increase the quality of patient care. Internet of …
DADEM: Distributed attack detection model based on big data analytics for the enhancement of the security of internet of things (IoT)
HI Ahmed, AA Nasr, SM Abdel-Mageid… - International Journal of …, 2021 - igi-global.com
Abstract Nowadays, Internet of Things (IoT) is considered as part our lives and it includes
different aspects-from wearable devices to smart devices used in military applications. IoT …
different aspects-from wearable devices to smart devices used in military applications. IoT …
Pelican optimization algorithm with federated learning driven attack detection model in internet of things environment
Abstract The Internet of Things (IoT) is comprised of millions of physical devices
interconnected with the Internet through network that performs a task independently with …
interconnected with the Internet through network that performs a task independently with …
A deep learning-based intrusion detection technique for a secured IoMT system
The emergence of medical sensors in smart healthcare has brought about an intelligent
Internet of Medical Things (IoMT) system for detecting life-threatening ill-ness globally. The …
Internet of Medical Things (IoMT) system for detecting life-threatening ill-ness globally. The …