AUTOMATING THE SEARCH FOR PERSONAL DATA IN THE DOCUMENT MANAGEMENT SYSTEM: METHODS AND SOLUTION

Abstract

Relevance. In the context of digital transformation and the active introduction of electronic document management systems, the volume of processed data is significantly increasing, a significant part of which contains personal information. An increase in the number of incidents related to data leaks, as well as stricter legal requirements in the field of their protection, necessitate the development of specialized tools for automated search and control of personal data in documents. Goal. The purpose of the work is to automate the process of searching for personal data in the document management system based on the analysis and selection of effective methods for processing text information. Research methods. The work used methods of analysis of unstructured data, template search based on regular expressions, as well as elements of text mining. Results. In the course of the research, the existing methods of searching for personal data are analyzed, the choice of approach is justified, a prototype of the software module is developed and the architecture of its implementation is proposed.