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This study analyses the IoT cybersecurity articles and provides a comprehensive view of research analysis of the collaborating networks, common keywords, and themes outlined. The objective of this study is to systematically assess, map, analyze, and synthesize the published literature on IoT cybersecurity in terms of quantities. OpenRefine and biblioMagika are used to clean data, while the R package and VosViewer are used for analysis on a sample of 1088 papers gathered from the Scopus. This study is distinctive because it used a pre-processing step to clean the data before starting a reliable bibliometric analysis. The analysis includes keyword co-occurrence data and publication trends, providing a detailed perspective on the trends, patterns, and gaps in the field. The results reveal a significant increase in publications in the areas of interest in Computer Science, Engineering, Decision Sciences, and Mathematics. In addition, India, the United States, China, the United Kingdom, and Saudi Arabia were the superior in total publications in this area, with 235, 211, 115, 62, and 56, respectively. Given the growing concern of IoT cybersecurity practices in computer science and other disciplines, this research aims at identifying the developmental process of IoT to chart the way forward for future research. Finally, the future research directions mentioned in the trending articles in the field were consistent with the key papers, and a possible way to conduct nonmyopic IoT cybersecurity research in the future is proposed.

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A Bibliometric Review of Trends and Insights of Internet of Things on Cybersecurity Issues

  • 章节

  • 发表日期：

    2025年

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  • Mushtaq Yousif Alhasnawi,
  • Ahmed Abbas Jasim Al-Hchaimi,
  • Yousif Raad Muhsen,
  • Amine Lekmiti

摘要

This study analyses the IoT cybersecurity articles and provides a comprehensive view of research analysis of the collaborating networks, common keywords, and themes outlined. The objective of this study is to systematically assess, map, analyze, and synthesize the published literature on IoT cybersecurity in terms of quantities. OpenRefine and biblioMagika are used to clean data, while the R package and VosViewer are used for analysis on a sample of 1088 papers gathered from the Scopus. This study is distinctive because it used a pre-processing step to clean the data before starting a reliable bibliometric analysis. The analysis includes keyword co-occurrence data and publication trends, providing a detailed perspective on the trends, patterns, and gaps in the field. The results reveal a significant increase in publications in the areas of interest in Computer Science, Engineering, Decision Sciences, and Mathematics. In addition, India, the United States, China, the United Kingdom, and Saudi Arabia were the superior in total publications in this area, with 235, 211, 115, 62, and 56, respectively. Given the growing concern of IoT cybersecurity practices in computer science and other disciplines, this research aims at identifying the developmental process of IoT to chart the way forward for future research. Finally, the future research directions mentioned in the trending articles in the field were consistent with the key papers, and a possible way to conduct nonmyopic IoT cybersecurity research in the future is proposed.