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.
Index Terms—Data mining, information security, patent analysis, text mining.
Hatice Işık Özata, Önder Demir, and Buket Doğan are with Marmara University, Technology Faculty, Istanbul, Turkey (e-mail: hatice.isik@marun.edu.tr, {odemir, buketb}@marmara.edu.tr).
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Cite:Hatice Işık Özata, Önder Demir, and Buket Doğan, "Analysis of Patents in Cyber Security with Text Mining," International Journal of Computer Theory and Engineering vol. 13, no. 1, pp. 24-28, 2021.
Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
