DATA SUBJECT AS AUGMENTED REALITY

Vladimir A. Dokuchaev, Moscow Technical University of Communications and Informatics, Moscow, Russia,
v.a.dokuchaev@mtuci.ru
Victoria V. Maklachkova, Moscow Technical University of Communications and Informatics, Moscow, Russia, v.v.maklachkova@mtuci.ru
Viacheslav Yu. Statyev, Transport Safety Fund, Moscow, Russia, svu@rnt.ru

DOI: 10.36724/2664-066X-2020-6-1-11-15

SYNCHROINFO JOURNAL. Volume 6, Number 1 (2020). P. 11-15.

Abstract

This article describes some security problems of the personal data in the context of global digitalization of all life activities of modern state, society and individuals, when the physical object, processes and personalities management are shifted to the management at the level of their digital profile (“digital twin”). Therefore, in view of the transition from physical reality to digital Augmented Reality (AR), the adequacy of the digital profile of a particular person has to be of paramount importance. The recent events of the end of 2019 and the first half of 2020, occurred due to the world COVID-19 pandemic, have forced some states to move away from the standard procedures of processing personal data implied in the General Data Protection Regulation (EU GDPR) for the reason that all the post pandemic circumstances do increase the risk for the data subject. According to the outcomes of the research conducted in the article, along with the model of threats and intruder of personal data security, the authors consider it to be appropriate for information processing personal data systems to develop the model of consequences for the data subject in case of implementation of the actual threats identified in the threat model. On balance, the proposed approach will enable to come to the answer in near future, “Are the digital transformation and digital twins the main risks to natural personal life privacy or not?”

Keywords: personal data, natural person, data subject GDPR, digital twin, data protection, pseudonymisation, processing, controller, big data, security, privacy, augumented reality, risk, models, system, information quality.

References

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