… 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 …

… of machine learning for IoT by supporting the possible cooperation with use case scenarios…
Meanwhile, we also study the current missing integration aspects of the machine learning …

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

… Although the IoT presents features that are already present in other computer networking
paradigms, we strongly believe that the IoT presents a completely different scenario and thus …

… 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 …

… , 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 …

… 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: …

… -trained deep learning models is that deep learning … scenarios, the first one is to generate
quantum keys without any attacker on their way (ideal situation), and for the second 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 …

… This article assesses the various machine learning methods … of a taxonomy of machine
learning algorithms explaining how … The potential and challenges of machine learning for IoT …