Article

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

Zarina Ildarovna AzizovaTashkent University of Information Technologies named after Muhammad al-Khwarizmi. Address: Amir Temur Avenue 108, 100084, Tashkent city, Republic of Uzbekistan. E-mail: [email protected]

Himičeskaâ tehnologiâ. Kontrolʹ i upravlenie/Chemical Technology. Control and Managementjournal2026en

ABI

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.

Topics

Information and Cyber Security Rough Sets and Fuzzy Logic Network Security and Intrusion Detection

Identifiers

DOI: 10.59048/2181-1105.1755

Citations and references

Cited by 02 references

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