… ) have the ability to change the future and bring global things into our hand. As a result,
anyone can access, connect, and store their information in the network from anywhere using the …

… The number of connected things in IoT systems is increasing … machine learning techniques
as well as deep learning … modeling to solve the security problems, in the context of IoT. …

… We investigate the potential of machine learning techniques in enhancing the security of IoT
… Furthermore, when deploying machine learning–based security techniques for IoT devices, …

… A) To understand which algorithm is more appropriate for processing and decision-making
on smart data generated from the things in IoT, it is essential to consider the following three …

… In the following sections, we will briefly review the most representative and commonly
used learning algorithms in real-time IoT systems in the abovementioned three aspects. …

… is developed named Internet of Things (IoT) based on enhanced machine learning. The
major contribution of the proposed model is to analyze and calculates things like the size, shape…

… Machine learning (ML) is a key enabling means for IoT which provides information inference,
data processing and intelligence for IoT … ing solution in different IoT application domains. …

… Although Europe is at the forefront in the early adoption of IoT, South Korea tops the global
ranking of connected things, whereas the USA is far behind in this respect [4]. Figure 1 also …

… of machine learning in the domain of IoT. We provide a comprehensive survey highlighting
the recent progresses in machine learning techniques for IoT and describe various IoT …

… devices are ubiquitous and have pervaded almost every sphere of our lives ushering an
era of ‘smart things.' The explosive growth has resulted in much security and privacy concerns. …