CONCEPTUAL MODEL FOR PROTECTING PERSONAL DATA BY DEPERSONALIZATION IN INFORMATION SYSTEMS: PRINCIPLES, COMPONENTS, AND LIFE CYCLE

Authors

• Zarina Ildarovna Azizova, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi. Address: Amir Temur Avenue 108, 100084, Tashkent city, Republic of Uzbekistan. E-mail: z.i.azizova@mail.ru.Follow

Abstract

This article presents a systematic approach to personal data protection through depersonalization in the context of regulatory pressure and growing cyber threats. It proposes a comprehensive conceptual model that formalizes the de-identification process as a manageable sequence of steps, from attribute classification and method selection to mandatory verification of the result. The article also provides a comparative analysis of existing depersonalization methods in terms of their applicability within the proposed model. The model serves as a basis for the development of specific algorithms, as demonstrated by the example of a data shuffling approach.

First Page

90

Last Page

95

References

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Recommended Citation

Azizova, Zarina Ildarovna (2026) "CONCEPTUAL MODEL FOR PROTECTING PERSONAL DATA BY DEPERSONALIZATION IN INFORMATION SYSTEMS: PRINCIPLES, COMPONENTS, AND LIFE CYCLE," Chemical Technology, Control and Management: Vol. 2026: Iss. 2, Article 12.
DOI: https://doi.org/10.59048/2181-1105.1755