The Algorithm for Controlling the Use of Big Personal Data

Abstract

Users data as a result of their interaction with various services (applications, video systems, etc.) is accumulated in all kinds of databases stored in them both in anonymized and non-anonymized form. In this connection, during processing data there are risks of comparing and extracting additional personal information obtained from different sources having correlations with each other. This can put a user in a vulnerable position when such information gets to unscrupulous third parties. However, taking into account the volume of circulating user data, we are talking about big personal data (BPD). According to the law safe processing of user's data is based on the principles of their consent and compliance of the purposes of such processing with the stated ones. In practice, this is not always controlled, and with the growth of the amount of information and services, users, such a problem requires a solution. In the article, the authors propose the algorithm for organizing control over the use of BPD on the basis of the importance coefficients of various attributes that need to be depersonalized and the profiles of the purposes of PD processing. It is proposed to establish profiles of the purposes of PD processing and check the volume of attributes for redundancy as a result of an expert assessment using the method of constructing linguistic scales.