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Danlami Mohammed

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Open access 2026

A Data-Driven Approach to Anonymizing Customer Personal Information in Banking Systems for Privacy Preservation

The study demonstrates that increasing the k-anonymity level reduces re-identification risks while preserving data utility, and aims to provide a scalable and efficient solution for privacy preservation.

A. Tukur, Hamza Audi Giade, Danlami Mohammed et al. · 0 citations

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