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Analysis of Public Sector Sharing Rate based on the IoT Device Classification Methodology

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2022, 8(1), pp.65-72
  • DOI : 10.20465/KIOTS.2022.8.1.065
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : December 14, 2021
  • Accepted : February 20, 2022
  • Published : February 28, 2022

Lee, Hyung Woo 1

1한신대학교

Accredited

ABSTRACT

The Internet of Things (IoT) provides data convergence and sharing functions, and IoT technology is the most fundamental core technology in creating new services by convergence of various cutting-edge technologies. However, there are different classification systems for the Internet of Things, and when it is limited to the domestic public sector, it is difficult to properly grasp the current status of which devices are installed and operated with what share, and systematic data or research The results are very difficult to find. Therefore, in this study, the relevance of the classification system for IoT devices was analyzed according to reality based on sales, shipments, and growth rate, and based on this, the actual share of IoT devices among domestic public institutions was analyzed in detail. The derived detailed analysis results are expected to be efficiently utilized in the process of selecting IoT devices for research and analysis to advance information protection technology such as responding to malicious code attacks on IoT devices, analyzing incidents, and strengthening security vulnerabilities.

Citation status

* References for papers published after 2023 are currently being built.