Abstract
The Internet of Things (IoT) is a technology that connects physical objects to the internet. However, one of the main concerns is associated with security, therefore, research is required on measures to protect information and privacy in devices interconnected through the network. The aim is to examine research trends on cybersecurity in the Internet of Things in the Scopus and Web of Science databases. To this end, bibliometric research on IoT cybersecurity is conducted, according to PRISMA 2020 criteria, in the Web of Science and Scopus databases. The number of articles, since 2015, has grown quadratically polynomially, where the leading countries in research are the United States, the United Kingdom, Spain, and Saudi Arabia. Currently, the main concepts are Deep Learning and Machine Learning, with some emerging concepts such as attack detection, federated learning, and artificial intelligence.
Translated title of the contribution | Research trends in Internet of Things cybersecurity |
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Original language | Spanish |
Pages (from-to) | 73-86 |
Number of pages | 14 |
Journal | RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao |
Volume | 2023 |
Issue number | E62 |
State | Indexed - 2023 |
Externally published | Yes |
Bibliographical note
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