… of ML and DL in security and IoT networks. Although, there is a rich literature available on
ML- and DL-based techniques in IoT networks, but we focus only on the security aspects of IoT …

… To accomplish this, we propose the use of machine learning to detect anomalies in an IoT
system. By using neural networks, we were able to train the network to detect invalid data …

… The communication of the SSL and the management system is based on the NB-IoT
network. The management system is based on Fog nodes, that collect data from a collection of …

… and IoT networks. We start with the challenges of resource management in … IoT and low-power
IoT networks, review the traditional resource management mechanisms for IoT networks, …

… that exploit machine learning in IoT systems. We classify such machine learning-based IoT
… WSNs joins the IoT networking paradigm when the sensor nodes dynamically connect to …

… This paper presents a novel machine learning (ML) based … to IoT domain. This framework
leverages both Software Defined … machine learning models based on network patterns and IoT …

… literature review on Machine Learning-based IoT security, including IoT … Machine Learning
algorithms for IoT security, from which anyone can obtain a general overview of various IoT …

… As the number of attacks possible on a network increases, it becomes more difficult for …
machine learning (ML) methods such as k-nearest neighbour (KNN), support vector machine (…

… machine learning algorithm, was applied to features extracted from network traffic data with
the aim of accurately identifying IoT … labeled network traffic data from 17 distinct IoT devices, …

… on IoT security, Machine Learning in IoT and ML-based security solutions on IoT networks
and … Moreover, we add a new classification of attacks based on machine learning algorithms …