Federated and transfer learning-empowered intrusion detection for IoT applications
The Internet of Things (IoT) can be described as a considerable number of sensors and
physical devices connected to different applications, supported with networking …
physical devices connected to different applications, supported with networking …
GEMLIDS-MIOT: A Green Effective Machine Learning Intrusion Detection System based on Federated Learning for Medical IoT network security hardening
The increasing use of Internet of Things (IoT) gadgets in a daily rate has heightened security
apprehension, particularly within the healthcare sector. In order to prevent the unauthorized …
apprehension, particularly within the healthcare sector. In order to prevent the unauthorized …
Federated transfer learning-based ids for the internet of medical things (iomt)
The Internet of Medical Things (IoMT) is a set of medical devices and applications that
connect to healthcare systems through the Internet. Those devices are equipped with …
connect to healthcare systems through the Internet. Those devices are equipped with …
Internet of Things: A Survey on Fused Machine Learning-Based Intrusion Detection Approaches
Abstract The Internet of Things (IoT) connects billions of interconnected devices that can
exchange information with each other with minimal user intervention. The goal of IoT is to …
exchange information with each other with minimal user intervention. The goal of IoT is to …
Fed-inforce-fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks
Abstract Internet of Medical Things (IoMT) has emerged as a combination of sensors,
healthcare devices, and Internet of Things (IoT) to deliver better and intelligent healthcare …
healthcare devices, and Internet of Things (IoT) to deliver better and intelligent healthcare …
A stratified IoT deep learning based intrusion detection system
The Internet of Things (IoT) enables billions of intelligent linked devices to communicate
through the IP standard. With the Internet and the Cloud Computing environment, nearly any …
through the IP standard. With the Internet and the Cloud Computing environment, nearly any …
An ensemble multi-view federated learning intrusion detection for IoT
The rise in popularity of Internet of Things (IoT) devices has attracted hackers to develop IoT-
specific attacks. The microservice architecture of IoT devices relies on the Internet to provide …
specific attacks. The microservice architecture of IoT devices relies on the Internet to provide …
Intrusion detection in IoT-Based healthcare using ML and DL approaches: A case study
P Das, S Saif - Artificial Intelligence and Cyber Security in Industry 4.0, 2023 - Springer
Abstract Internet of Things (IoT) aims to make improvement is quality of human life. The use
of IoT technology in healthcare services is to make the service more personalized and …
of IoT technology in healthcare services is to make the service more personalized and …
[HTML][HTML] Fidchain: Federated intrusion detection system for blockchain-enabled iot healthcare applications
Recently, there has been considerable growth in the internet of things (IoT)-based
healthcare applications; however, they suffer from a lack of intrusion detection systems …
healthcare applications; however, they suffer from a lack of intrusion detection systems …
Honey-block: Edge assisted ensemble learning model for intrusion detection and prevention using defense mechanism in IoT
Abstract The Internet of Things (IoT) has gained popularity with interconnected devices and
diverse network applications, leading to increased vulnerability of sensitive data to security …
diverse network applications, leading to increased vulnerability of sensitive data to security …