Securing federated learning through blockchain and explainable ai for robust intrusion detection in iot networks
Federated learning (FL) is a distributed machine learning technique that allows multiple
devices or nodes in a network to collaboratively train a machine learning model while …
devices or nodes in a network to collaboratively train a machine learning model while …
Securefl: Privacy preserving federated learning with sgx and trustzone
Federated learning allows a large group of edge workers to collaboratively train a shared
model without revealing their local data. It has become a powerful tool for deep learning in …
model without revealing their local data. It has become a powerful tool for deep learning in …
Optimizing Heterogeneity in IoT Infra Using Federated Learning and Blockchain-based Security Strategies
V Muthukumar, R Sivakami… - INTERNATIONAL …, 2023 - fsja.univagora.ro
Abstract The Internet of Things (IoT) and associated capabilities are becoming
indispensable in the planning, operation, and administration of intricate systems of all sizes …
indispensable in the planning, operation, and administration of intricate systems of all sizes …
Reinforcement learning for iot security: A comprehensive survey
The number of connected smart devices has been increasing exponentially for different
Internet-of-Things (IoT) applications. Security has been a long run challenge in the IoT …
Internet-of-Things (IoT) applications. Security has been a long run challenge in the IoT …
Preliminary study of trusted execution environments on heterogeneous edge platforms
The recent edge computing infrastructure introduces a new computing model that works as a
complement of the traditional cloud computing. The edge nodes in the infrastructure reduce …
complement of the traditional cloud computing. The edge nodes in the infrastructure reduce …
rFedFW: Secure and trustable aggregation scheme for Byzantine-robust federated learning in Internet of Things
L Ni, X Gong, J Li, Y Tang, Z Luan, J Zhang - Information Sciences, 2024 - Elsevier
Federated learning is a promising approach in the Internet of Things (IoT) that enables
collaborative and distributed machine learning among massive IoT devices without sharing …
collaborative and distributed machine learning among massive IoT devices without sharing …
Heterogeneous IoT (HetIoT) security: techniques, challenges and open issues
The HetIoT is a new emergent technology widely used to offer QoS to applications such as
health monitoring systems, agriculture 4.0, traffic monitoring, industry 4.0, and civil defense …
health monitoring systems, agriculture 4.0, traffic monitoring, industry 4.0, and civil defense …
XLF: A cross-layer framework to secure the internet of things (iot)
The burgeoning Internet of Things (IoT) has offered unprecedented opportunities for
innovations and applications that are continuously changing our life. At the same time, the …
innovations and applications that are continuously changing our life. At the same time, the …
On deep reinforcement learning security for Industrial Internet of Things
Abstract The Industrial Internet of Things (IIoT), also known as Industry 4.0, empowers
manufacturing and production processes by leveraging automation and Internet of Things …
manufacturing and production processes by leveraging automation and Internet of Things …
Toward secure data fusion in industrial IoT using transfer learning
As an emerging technology, the industrial Internet of Things (IIoT) can promote the
development of industrial intelligence, improve production efficiency, and reduce …
development of industrial intelligence, improve production efficiency, and reduce …