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May 19, 2026Himičeskaâ tehnologiâ. Kontrolʹ i upravlenie/Chemical Technology. Control and Management

Conceptual Model for Protecting Personal Data by Depersonalization in Information Systems: Principles, Components, and Life Cycle

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Authors

ZAZarina Ildarovna AzizovaTashkent University of Information Technology

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Implication

Systematic approach proposes a conceptual model for data de-identification, suggesting improved protection methods.

Key Points

  • The aim is to establish a structured model for protecting personal data through depersonalization methods.
  • Developed a comprehensive conceptual model for data depersonalization focusing on systematic steps.
  • Conducted comparative analysis of existing depersonalization methods to assess their applicability.
  • Demonstrated application with a data shuffling approach.
  • The proposed model formalizes the de-identification process into manageable steps.
  • Comparative analysis reveals strengths and weaknesses of various depersonalization techniques.
  • The data shuffling example illustrates the model's practical application in real-world scenarios.

Cite This Study

Zarina Ildarovna Azizova (2026) studied this question.

synapsesocial.com/papers/6a0bfe08166b51b53d379518https://doi.org/10.59048/2181-1105.1755
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Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1An Overview of De-Identification Techniques and Their Standardization Directions2020 · 16 citations
  2. 2Understanding of Data De-identification: Issues of Relevance and Problems2021 · 3 citations
  3. 3The Algorithmic Foundations of Differential Privacy2014 · 4,707 citations
  4. 4Federated Learning: Collaborative Machine Learning without Centralized Training Data2022 · 504 citations