Analysis of Patents in Cyber Security with Text Mining


Işık Özata H., Demir Ö. , Doğan B.

International Journal of Computer Theory and Engineering, vol.13, no.1, pp.24-28, 2021 (Refereed Journals of Other Institutions)

  • Publication Type: Article / Article
  • Volume: 13 Issue: 1
  • Publication Date: 2021
  • Doi Number: 10.7763/ijcte.2021.v13.1285
  • Title of Journal : International Journal of Computer Theory and Engineering
  • Page Numbers: pp.24-28

Abstract

In the last decade, studies in the field of information security have progressed very rapidly. The advancement and development of new technologies in the field of information security have not only affected existing areas in the field but have also led to the emergence of new areas. Examining patent documents to monitor technological developments and track trends is an important way to make future predictions about technology. By doing so, companies know which areas they should invest in, and they can more easily predict in which direction research and development should proceed. To date, many studies have been conducted to analyze and share the patents obtained in different fields. This study will include advantages over current studies in the field of patent data and data mining. Although the patent analysis method used in the present study has recently become popular, it is expected to be a valuable resource for Turkey because the lack of technology prediction methods in the field of information security. In this study, patent documents obtained in the field of information security are analyzed. Data mining will be used to analyze patent documents retrieved from the field of information security. Furthermore, trends in the field of information security will be identified from the collected data.