Application of Machine Learning in Internet of Things (IoTs)
Yoginder Kumar · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: Machine learning is a subset of artificial intelligence in which machines learn through real data rather than being explicitly taught to do so. With the growing number of devices on business networks, IT teams are finding it difficult to design adequate security procedures. IoT security is crucial for corporate survival and success, but it comes with its own set of issues. Some of these issues can be addressed using a machine learning (ML) strategy to IoT security. It eliminates the problem of recognizing unknown devices on a network, ensures that they are included in the current security framework, and simplifies IoT management for busy IT teams. In this paper, application of the Machine Learning algorithms in IoT sectors are explored. Keywords: Machine Learning; Internet of Things (IoT); Algorithms; Applications