The Internet of Things (IoT) realizes a vision where billions of interconnected devices are
deployed just about everywhere, from inside our bodies to the most remote areas of the globe. …

… of software-defined networking on the Internet of things networks. We also study the impact
of machine learning techniques applied to software-defined networking and its application …

… Abstract: The Internet of Things networks comprising wireless sensors and controllers or IoT
… nodes and enabling lossless networks. The wireless sensor networks and its applications …

… and Intrusion Detection for computer network security. The work aims, therefore, recent and
… in computer networks with emphasis on the Internet of Things and machine learning. More …

… 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 …

… 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…

… Networks (OppNets) which are similar in characteristics to OppIoT, through protocols such as
MLProph and KNNR. In this paper, we utilize cascade learning, a … Machine Learning based …

… 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 …

… We present a taxonomy of network-based and host-based machine learning approaches
(along with their strengths and weaknesses) that can be used to improve IoT security in practice…

… 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, …