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R. Eshenko

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#software testing Open access Oct 2026

Improving Privacy in Educational Data: Developing an Anonymization Algorithm Using AES/GCM and Mixing Methods

A hybrid algorithm for depersonalizing personal data is proposed, which combines the method of changing the composition or semantics and the mixing method based on modern cryptographic standards, and a comprehensive algorithm for depersonalization of personal data has been developed.

R. Eshenko, E. Zvereva, Ekaterina Dobrosel'skaya et al. · 0 citations

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