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Programming and Computer Software
Erschienen in: Programming and Computer Software 5/2023

01.10.2023

Application of Computer Simulation to the Anonymization of Personal Data: Synthesis-Based Anonymization Model and Algorithm

verfasst von: A. V. Borisov, A. V. Bosov, A. V. Ivanov

Erschienen in: Programming and Computer Software | Ausgabe 5/2023

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Abstract

This paper describes the second part of our study devoted to automated anonymization of personal data. The overview and analysis of research prospects is supplemented with a practical result. An anonymization model is proposed, which reduces anonymization of personal data to manipulation of samples of random elements of different types. The key idea of our approach to anonymization of personal data with preservation of their usefulness is the use of the synthesis method, i.e., the complete replacement of all non-anonymized data with synthetic values. In the proposed model, a set of element types is selected, for which corresponding synthesys templates are proposed. The set of templates constitutes a synthesis-based anonymization algorithm. Technically, each template is based on a well-known statistical tool: frequency estimates of probabilities, Parzen–Rosenblatt kernel density estimates, statistical means, and covariances. The proposed approach is illustrated by a simple example from civil aviation.
Vorheriger Artikel Twenty Similarity Functions for Two Finite Sequences
Nächster Artikel Searching for Laurent Solutions of Systems of Linear Differential Equations with Truncated Power Series in the Role of Coefficients

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Metadaten
Titel
Application of Computer Simulation to the Anonymization of Personal Data: Synthesis-Based Anonymization Model and Algorithm
verfasst von
A. V. Borisov
A. V. Bosov
A. V. Ivanov
Publikationsdatum
01.10.2023
Verlag
Pleiades Publishing
Erschienen in
Programming and Computer Software / Ausgabe 5/2023
Print ISSN: 0361-7688
Elektronische ISSN: 1608-3261
DOI
https://doi.org/10.1134/S036176882305002X

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