V.I. Budzko – Dr.Sc.(Eng.), Deputy Director, 

Institute of Informatics Problems of FRC CSC RAS (Moscow);

Member of Russian Cryptography Academy

E-mail: vbudzko@ipiran.ru

V.I. Korolev – Dr.Sc.(Eng.), Leading Research Scientist, 

Institute of Informatics Problems of FRC CSC RAS (Moscow); 

Professor, Financial University under the Government of the Russian Federation

E-mail: vkorolev@ipiran.ru

V.G. Belenkov – Ph.D.(Eng.), Leading Research Scientist, 

Institute of Informatics Problems of FRC CSC RAS (Moscow) E-mail: vbelenkov@ipiran.ru

The article is devoted to the features of the use of privacy tokens, which are considered as elements of confidentiality to ensure information security of the data intensive systems.

The features of information security in the data intensive systems using privacy tokens, presented as built-in privacy elements, are considered. The basic concepts of the considered approach are determined.

The areas of activity, the objects belonging to them, their indicators, characteristics, types of information, references to them, or specific information, are highlighted as protected entities. The concept of a linguistic network of the subject area is explained, the architecture of its construction in the form of a tree is proposed.

The choice of the proposed approach is determined by large flows of documents and data at the input and output of the data intensive systems, high requirements for speed of processing and high uncertainty of the category of access to the totality of information processed in these systems.

The place of privacy tokens in ensuring information security of the data intensive systems during data accumulation and retrieval with subsequent integration has been determined.

A formalized description of the sequence of actions for the formation of tokens and determining the level of confidentiality of the material using text analysis is proposed.

The groups of tools needed to implement these actions are listed.

The algorithm for generating and extracting privacy tokens is enlarged; a set of tools for generating privacy tokens and determining the level of confidentiality for protected content artifacts during information interaction is proposed.

The obtained results allow us to move on to researching methods for the practical implementation of the use of privacy tokens in technologies and environment of the intensive information interaction

1. Budzko V.I., Belenkov V.G., Korolev V.I. Elementy konfidentsial’nosti i perspektivy ikh ispol’zovaniya v sistemakh, realizuyushchikh intensivnoe ispol’zovanie dannykh. Sistemy vysokoy dostupnosti. 2018. T. 14. № 4. (In Russian).
2. Budzko V.I., Belenkov V.G., Korolev V.I. Ob odnom kontseptual’nom podkhode k zashchite informatsii v sistemakh, realizuyushchikh DID. Trudy Mezhdunar. nauchno-tekhnich. konf. «Informatsionnye tekhnologii i matematicheskoe modelirovanie sistem 2018». M.: Tsentr informatsionnykh tekhnologiy v proektirovanii RAN. 2018. (In Russian).
3. Budzko V.I., Belenkov V.G., Korolev V.I. Ob osobennostyakh ispol’zovaniya sredstv i metodov OIB v sistemakh, realizuyushchikh DID. Trudy Mezhdunar. nauchno-tekhnich. konf. «Informatsionnye tekhnologii i matematicheskoe modelirovanie sistem 2018». M.: Tsentr informatsionnykh tekhnologiy v proektirovanii RAN. 2018. (In Russian).
4. Budzko V.I., Belenkov V.G., Borokhov S.V. Problemy obespecheniya informatsionnoy bezopasnosti pri intensivnom ispol’zovanii dannykh. Trudy Mezhdunar. nauchno-tekhnich. konf. «Informatsionnye tekhnologii i matematicheskoe modelirovanie sistem 2017». M.: Tsentr informatsionnykh tekhnologiy v proektirovanii RAN. 2017. S. 122−124. (In Russian).
5. Belenkov V.G., Borokhov S.V., Budzko V.I., Keyer P.A., Korolev V.I. Voprosy obespecheniya informatsionnoy bezopasnosti informatsionnykh sistem, realizuyushchikh intensivnoe ispol’zovanie dannykh. Sb. nauchnykh trudov XIX Mezhdunar. konf. DAMDID «Analitika i upravlenie dannymi v oblastyakh s intensivnym ispol’zovaniem dannykh». RCDL’2017. 10−13 oktyabrya 2017. Moskva, MGU, Rossiya. Pod red. L.A. Kalinichenko, Ya. Manolopulos, N.A. Skvortsova, V.A. Sukhomlina. M.: FITs IU RAN. 2017. S. 155−158. (In Russian).