Work

Fibonacci H Algorithm for Patient Data Anonymization

Year: 2025

Type: article

Abstract: The Fibonacci H Algorithm provides a simple, deterministic, and reversible method for anonymizing data in the NaftiUree GGB study. Its use of Fibonacci indices ensures a structured approach,while the human-readable format (e.g., Neca Pera 59) facilitates integration into research work-flows. The low collision probability supports its reliability for small-scale studies (e.g., 50–100 tokens). Future work will extend the algorithm with secure database storage (e.g., SQLite with encryption) and scalability for larger cohorts. *(Suitable for any other healthcare or related professional who requires portability and data security.)

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17174692

Author: Marciu, Vicentiu Bogdan Ion

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7082631678

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