CHILEAN RUT ENCRYPTION USING FPE: A POC IN DATABRICKS

The growth of large databases and repositories based on Big Data, such as Data Lakes, has led to various security challenges. One of the most significant issues is the privacy and protection of personal and sensitive data. There is an urgent need for organizations to adopt a culture of data encryption. To safeguard this information, we propose a prototype that employs the technique of format-preserving encryption, executed within the Databricks distributed computing environment and applied to Chilean RUTs. This approach enables data encryption while preserving its original format, facilitating its use and analysis in Big Data environments.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-02
DOI
https://doi.org/10.5281/zenodo.15190877
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

CHILEAN RUT ENCRYPTION USING FPE: A POC IN DATABRICKS

Zenodo (CERN European Organization for Nuclear Research)
Data Quality and Management
article

CHILEAN RUT ENCRYPTION USING FPE: A POC IN DATABRICKS

article en

Abstract

The growth of large databases and repositories based on Big Data, such as Data Lakes, has led to various security challenges. One of the most significant issues is the privacy and protection of personal and sensitive data. There is an urgent need for organizations to adopt a culture of data encryption. To safeguard this information, we propose a prototype that employs the technique of format-preserving encryption, executed within the Databricks distributed computing environment and applied to Chilean RUTs. This approach enables data encryption while preserving its original format, facilitating its use and analysis in Big Data environments.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Data Quality and Management
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CHILEAN RUT ENCRYPTION USING FPE: A POC IN DATABRICKS · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS