… notions of machine learning techniques. Then, by adopting a bottom-up approach, we
examine existing work on machine learning for the IoT at the physical, data-link and network layer …

… The reasons are the huge workload on the IoT network and the … Machine learning (ML) is
a key enabling means for IoT which … , “Unsupervised machine learning in 5G networks for low …

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

… Can machine learning be secure?.” The novel contributions of this work introduce (a) a taxonomy
of different types of attacks on machine learning … to security for machine learning, (d) an …

… In addition, IoT consists of a heterogeneous set of networks that allow the communication of
… networks of telecom operators that allow devices equipped with a machine-to-machine (M2M…

… techniques and their applied intrusion detection architectures in computer networks with
emphasis on the Internet of Things and machine learning. More than 95 works on the subject …

… Machine learning techniques are anticipated to provide pervasive connections for wireless
… In fact, machine learning paves the way for the Internet of Things (IoT)—a network that …

… machine learning technologies for the identification of IoT devices along with the detection
of compromised or falsified ones from the viewpoint of passive surveillance agents or network …

… Finally, we define the ‘‘ugly’’ use of machine learning as malicious uses of machine learning
… of utilizing machine learning to detect network attacks and improve network security. Then, …

… Things (IIoT) devices because of potentially devastating consequences in case of an attack.
Machine learning … for analyzing and securing the Internet of Things (IoT) technology. By …