… priori network optimization may not be suitable, since (i) an accurate model of the environment
may not be readily available in practical scenarios… the use of machine learning to address …

… a network that supports communications among various devices without human interactions.
Machine learning … In this paper, we study different IoT-based machine learning mechanisms …

… network's security, which is presently a popular topic in IoT security [35]. Hence, this paper
aims to present IDS-based machine learning … assaults in a variety of network attack scenarios. …

… , Machine Learning (ML) and Deep Learning (DL) mechanisms will play a pivotal role to bring
intelligence to the IoT networks. … Traditional IoT scenarios such as smart home mimic the …

… Our work in this area shows that machine learning (ML)-based solutions can introduce
new … In this attack scenario, we (as the white hat attacker) transferred about 1GB of files …

… Here, we consider systems to be any generic ubiquitous networks or Internet … machine
learning applications for security issues as applied in the Internet and intranet scenarios…

… IOT SECURITY AND MACHINE LEARNING In this section, we discuss various machine
learning algorithms and their … RL techniques are generally used in the following scenario: …

… ML-Models divided into network patterns analysis, along with … learning, distributed data
mining system and neural network … in a real Smart building scenario using one-class SVM. The …

… Deploying machine learning systems on such edge computing devices alleviates the above
… where machine learning systems have been deployed at the edge of computer networks, …

… (ML) techniques in ultra-dense cellular networks. Out of several ML techniques, … learning
approach in the mMTC scenario along with the recent advances toward enhancing its learning …