… 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 …

… various popular machine learning algorithms for IoT traffic classification. We utilize the 20
days’ network traces generated from 20 popular and different IoT devices. Network traces are …

… IoT device attacks. In this research, we apply machine learning approaches towards IoT …
[8] that was built on the network traffic of botnet attacks [9] against IoT devices. Three feature …

… machine learning algorithms on network traffic data for accurate identification of IoT devices
connected to a network. … and labeled network traffic data from nine distinct IoT devices, and …

… 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, …

… 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 …

… machine learning for SDN in IoT network. We will review two important aspects, (1) how
machine learning can IoT network management with SDN more easily and effectively; (2) how …

… Internet-of-Things (IoT) network is essential for the IoT security to keep eyes and block
unwanted traffic flows in the IoT network. For this purpose, numerous machine-learning (ML) …

… 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 (…

… 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 …