Depersonalization of Personal Data in Information Systems

Abstract

The analysis of the methods of anonymization of personal data processed by automated information systems was carried out, their shortcomings were revealed. To eliminate the shortcomings, a method of anonymization of personal data has been developed, based on the method of introducing identifiers using hashing of critical data and the key of the institution. This method has the following advantages: the data becomes impersonal, what allows reducing the cost of personal data information systems protection; the impossibility of determining a specific subject in personal data information systems based on known unique attributes of the subject; the operator, when the subject refers to his personal data, gets access only to one record of the personal data information system. The use of this method is considered using the famous characters of Alice and Bob. The conducted experiments have confirmed the proposed software operability and allow recommending it for use in practice for solving the problems of diagnosis and automatic classification on the features. The prospects for further research may include the creation of parallel methods for calculation of set of proposed indicators, the optimization of their software implementations, as well as a experimental study of proposed indicators on more complex practical problems of different nature and dimensionality.