… trusted collaboration blockchain and the data registration blockchain. Then, we implement a
federated deep learning … The smart contract interface for initiating federated deep learning is …

… ) deep learning algorithm to deal with sequential network data and is assessed using the
data sets of UNSW-NB15 and BoT-IoT… and IoT networks to discover cyberattacks and safeguard …

… Thus, we aim at a trustworthy solution with privacy-aware mechanisms. … Dynamic access
control policy based on blockchain and machine learning for the internet of things. Int. J. …

… The framework is further validated and tested using two publicly available ToN-IoT and
CICIDS-… The components of this framework is explained below: 1) Trusted Authority (л): л is a …

… trusted nodes and the RUs are considered as fully trusted … First, we have registered each
IoT node in the P2TIF framework … 3(a) illustrates the time taken by 50 IoT nodes for registration …

… Internet of Things (IoT) applications often analyze collected data using machine learning …
We address several technical challenges to enable HDbased trustworthy, collaborative learning…

… not meet the requirement of 5G-enabled IoT including its unique characteristic of low … Deep
Learning (DL) and blockchain-empowered security framework for intelligent 5G-enabled IoT …

… work collaboratively to satisfy the requirements of city IoT applications. In this article, we
consider … , including the collaboration of MCC and MEC. A distributed deep learning-driven task …

… Smart grids are the secure and trustworthy locations to distribute the electric energy among
… is the Head of the “Active and collaborative techniques and use of technologic resources in …

… However, another challenge is deployment of the collaborative framework in … machine
learning are the main focus of this study. Several studies to improve trustworthiness among IoT …