METHOD OF DATA DEPERSONALIZATION IN PROTECTED AUTOMATED INFORMATION SYSTEMS

Abstract

Context. The problem of data depersonalization in information systems is considered. The analysis of modern approaches to depersonalization of data is carried out, it is revealed and proved by need of creation of the new method allowing to increase security of the processed data and their reliability. The object of the study was a model of data depersonalization, allowing to reduce the cost of protecting information systems. Objective. The goal of the work is the analysis of modern methods of depersonalization and the creation of a method that eliminates the identified shortcomings, with an increased level of confidentiality and use of hashing of critical data and a private key.Method. A method of personal data depersonalization is proposed, based on the method of entering identifiers using hashing of critical data and a private key, which allows to increase the confidentiality of information processed in information systems. Methods are proposed for selecting key critical attributes from primary documents that uniquely identify the subject of personal data, the method of generating initial sets, which divides the source data into two disjoint subsets, the method of generating a hash identifier from a unique sequence and a private key that depersonalizes information and enhances its confidentiality.Results. The developed method is implemented in software and researched while solving the problems of depersonalization.Conclusions. The carried out experiments confirmed the efficiency of the proposed method and allow to recommend it for implementation in automated information systems for processing personal data for solving problems of depersonalization. Prospects for further research may be in the creation of hardware streamlined data depersonalization allowing to increase the speed of processing and confidentiality of data in the information systems.