Internet of Things and Machine Learning as Tools for the Help in the Elaboration of Fine Academic Work

The work was written in the format of academic and critical review to assist students in communication and absorption of frontier scientific knowledge. Or what aids or consumption of relevant teaching material by that public. The article reviewed was A systematic literature review of recent lightweight detection approaches leveraging machine and deep learning mechanisms in Internet of things networks, published in Computer and Information Sciences, in English. The main objective of the research was to create value for users, students or professionals, through two topics information security and digital innovation. And to popularize a technical area and with a greater demand for quantitative development capacity and shared with an exact sciences area. As a practical contribution, undergraduate and postgraduate students will be able to use the SLR methodology, presented in this article, as a method and valuable tool for the preparation of course completion papers, monographs or in scientific initiation projects, through a verification model and analysis of trusted information. As a theoretical contribution, it is suggested that the original article be used as support material, in the classroom, to complement theoretical classrooms, group dynamics, teaching cases or exercises that involve the subareas: Information Systems, e-Learning or Computing.