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 …
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 …
Design of metaheuristic optimization algorithms for deep learning model for secure IoT environment
Because of the rise in the number of cyberattacks, the devices that make up the Internet of
Things (IoT) environment are experiencing increased levels of security risks. In recent years …
Things (IoT) environment are experiencing increased levels of security risks. In recent years …
An ensemble deep federated learning cyber-threat hunting model for Industrial Internet of Things
Abstract Industrial Internet of Things (IIoT) is an emerging technology with prompt evolution
in diverse applications, including critical infrastructure. While the increasing number of IIoT …
in diverse applications, including critical infrastructure. While the increasing number of IIoT …
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 …
Hybrid deep learning model for attack detection in internet of things
H Rekha, M Siddappa - Service Oriented Computing and Applications, 2022 - Springer
Internet of things (IoT) provides a new application, which helps the existing networks
communicate with smart technologies. Things are now becoming increasingly connected to …
communicate with smart technologies. Things are now becoming increasingly connected to …
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 …
Federated learning-inspired technique for attack classification in IoT networks
More than 10-billion physical items are being linked to the internet to conduct activities more
independently and with less human involvement owing to the Internet of Things (IoT) …
independently and with less human involvement owing to the Internet of Things (IoT) …
Metaheuristics with federated learning enabled intrusion detection system in Internet of Things environment
Because of increased applications of Internet of Things (IoT) environment in real‐time
environment, confidential data gathered by the IoT devices are being communicated to the …
environment, confidential data gathered by the IoT devices are being communicated to the …
Federated learning-based network intrusion detection with a feature selection approach
Y Qin, M Kondo - 2021 International Conference on Electrical …, 2021 - ieeexplore.ieee.org
With the increase and diversity of network attacks, machine learning has shown its efficiency
in realizing intrusion detection. Federated Learning (FL) has been proposed as a new …
in realizing intrusion detection. Federated Learning (FL) has been proposed as a new …