This article describes a solution for systematizing the approach to personal data protection (PDP) 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.
| Mualliflar | Azizova, Zarina |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2026-03-18 |
| Son | 1 |
| Betlar | 247-251 |
| Til | Rus |
personal data, de-identification, data privacy, regulatory compliance, information security
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