Article

CONCEPTUAL MODEL FOR PROTECTING PERSONAL DATA BY DE-IDENTIFICATION IN INFORMATION SYSTEMS

Zarina Ildarovna AzizovaPhD-student, Department of Information Security, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, 100084, Tashkent, Amir Temur Avenue 108

Zenodo (CERN European Organization for Nuclear Research)repository2026en

ABI

Abstract

This article describes a solution for systematizing the approach to personal data protection using the method of de-identification 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 de-identification 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.

Topics

Economic and Technological Systems Analysis Information and Cyber Security Legal and Policy Issues

Identifiers

DOI: 10.5281/zenodo.19079661

Citations and references

Cited by 00 references

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