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DIGITALIZATION OF THE PERSONAL DATA SUBJECT
DOI: 10.36724/2072-8735-2020-14-6-27-32
Vladimir A. Dokuchaev, MTUCI, Moscow, Russia, v.a.dokuchaev@mtuci.ru
Victoria V. Maklachkova, MTUCI, Moscow, Russia, v.v.maklachkova@mtuci.ru
Vyacheslav Yu. Statev, Transport Safety Fund, Moscow, Russia, svu@rnt.ru
Abstract
The need to protect confidential information has intensified sharply due the pandemic that swept all countries in early 2020. The numerous cases of leakage of personal data and confidential information in the process of remote work and distance learning determines the attention that is currently being paid to the organization of processing and ensuring the security of personal data, especially in the context of the beginning of the implementation of the concept of «digital citizen profile», approved in March 2019 in the Russian Federation. The key point in the organization of work with personal data and their protection is the identification (determination) of the personal data subject. From the point of view of Russian laws, the identification of the personal data subject can be carried out on the basis of any form and content of information relating to a directly or indirectly identified or identifiable individual. The opposite of the identification of the personal data subject is the depersonalization of his personal data. As a result of this, without the use of additional information, it is impossible to determine the ownership of personal data to a specific personal data subject. Digitalization of all activities of life of the Russian state, society and the individual (including political, economic, social, and other aspects) leads to the collection of an increasing amount of personal data about the natural person. In the «digital economy», a transition to management at the level of «digital twins» (digital profiles) is being implemented, as opposed to management at the level of physical objects, processes and personalities in the «analog economy». This, in turn, gives rise to a variety of possible negative impacts on these «digital twins» the possibility of which depends on the specific conditions of use of «digital twins». It can be concluded that at present, the concept of the personal data subject begins to act as a digital supplement (extension) or as augmented reality of a personal data subject of a specific physical person and his (her) environment, for which the digital profile is synergistic. Therefore, the issue of the quality of these «digital twins» (adequacy, reliability, completeness, relevance) is at the forefront of ensuring the security of something.
Keywords: digitalization, personal data, data processing, personal data subject, digital twin, digital profile, depersonalization, identification, anonymous information, information security, subject’s digital models, big data, augmented reality.
References
1. Decree of the President of the Russian Federation of December 5, 2016 No. 646 «On the approval of the Doctrine of information security of the Russian Federation.» Site of the President of the Russian Federation. http://kremlin.ru/acts/bank/41460 (date accessed: 05/09/2020).
2. Hungarian government suspends EU data protection rights. Сайт «EURACTIV.com». [Электронный ресурс]. — URL: https://www.euractiv.com/section/digital/news/hungarian-government-suspends-eu-data-protection-rights/ (дата обращения: 10.05.2020).
3. Global Data Protection Regulation. EU GDPR Portal. https://www.eugdpr.org/ (дата обращения: 09.05.2020).
4. Federal Law of July 27, 2006 No. 152-FZ «On Personal Data» Site of the President of the Russian Federation. http://www.kremlin.ru/acts/bank/24154 (date accessed: 05/09/2020).
5. Dokuchaev V.A., Dokuchaev V.A., Maklachkova V.V., Statiev V.Yu. (2020). Subject identification is a key point in the processing of personal data. In the collection: Technologies of the information society. Proceedings of the XIV International Branch Scientific and Technical Conference. 2020. P. 273-274.
6. Dokuchaev V.A., Maklachkova V.V., Statev V.Yu. (2020). Classification of personal data security threats in information systems. T-Comm, vol. 14, no.1, pp. 56-60. (in Russian)
7. Comprehensive explanatory dictionary of the Russian language: A-Z / RAS. Institute of ling. research.; Comp., Ch. ed. Cand. philol. Sciences S.A. Kuznetsov. SPb.: Norint, 1998. 1534 p. ISBN 5-7711-0015-3.
8. Big Encyclopedic Dictionary, 2nd ed., 1456 p., Moscow., Ed. «Great Russian Encyclopedia». 1998.
9. «Kommersant» dated 07.24.2019. Imaginary anonymity [Electronic resource]. — URL: https://www.kommersant.ru/doc/4040585 (date of access: 05/09/2020).
10. During the debate on the protection of personal data, students managed to collect information about a person on the Internet from one photo. Roskomnadzor website, 03.12.2019 [Electronic resource]. — URL: https: // https://pd.rkn.gov.ru/press-service/subject1/news4782/ (date accessed:
05/09/2020).
11. «Kommersant» dated 05/18/2020. The prosecutor’s office checks the data leakage of self-isolation violators [Electronic resource]. URL: https://www.kommersant.ru/doc/4348076 (date of access: 18.05.2020).
Information about authors:
Vladimir A. Dokuchaev, DSc (Technical), Professor, Head of the Department «Network Information Technologies and Services» MTUCI, Moscow, Russia
Victoria V. Maklachkova, DSc (Mathematical), Senior Researcher, Professor of the Department of «Network Information Technologies and Services», MTUCI, Moscow, Russia
Vyacheslav Yu. Statev, PhD, expert, Transport Safety Fund, Moscow, Russia