INEP (syntactic) Anonymization
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2022
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| _version_ | 1866902004797800448 |
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| author | Nunes, Gabriel Henrique |
| author_facet | Nunes, Gabriel Henrique |
| contents | <p><strong><a href="https://github.com/nunesgh/inep-anonymization" target="_blank" rel="noopener">INEP (syntactic) Anonymization</a></strong></p> <p>Code and attributes hierarchies used for the anonymization process of INEP datasets using <a href="https://github.com/arx-deidentifier/arx" target="_blank" rel="noopener">ARX Deidentifier</a> tool.</p> <p>The resulting datasets were used for vulnerability assessment using the <a href="https://github.com/nunesgh/bvm-library" target="_blank" rel="noopener">BVM library</a> (<a href="https://doi.org/10.5281/zenodo.6533704" target="_blank" rel="noopener">10.5281/zenodo.6533704</a>). The assessment results were published in: Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Carroll Morgan, Gabriel H. Nunes - <em>Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata</em> (2022, DOI: <a href="https://doi.org/10.56553/popets-2022-0114" target="_blank" rel="noopener">10.56553/popets-2022-0114</a>, arXiv: <a href="https://arxiv.org/abs/2204.13734" target="_blank" rel="noopener">2204.13734</a>).</p> <p>We randomly selected only one record for each student with a same unique pseudonymization code (<code>ID_ALUNO</code>) in each dataset. The enrollment code (<code>ID_MATRICULA</code>) for each selected record is available in <a href="https://doi.org/10.5281/zenodo.6533675" target="_blank" rel="noopener">10.5281/zenodo.6533675</a> (<a href="https://gitlab.com/nunesgh/inep-enrollment-codes" target="_blank" rel="noopener">gitlab.com/nunesgh/inep-enrollment-codes</a>).</p> <p><strong>ARX version</strong></p> <p>The <code>jar</code> files in <code>arx/jars/</code> were compiled from the <a href="https://github.com/ramongonze/arx" target="_blank" rel="noopener">ARX fork</a> made by <a href="https://github.com/ramongonze" target="_blank" rel="noopener">@ramongonze</a>, based on commit <a href="https://github.com/ramongonze/arx/commit/8a936d3d5607b8f10957c16c1e2781d94b9f2904" target="_blank" rel="noopener">8a936d3</a> and using the command:</p> <pre><code>ant -buildfile build.xml</code></pre> <p>This fork allows for the creation of matrices with up to (2^31-1)^2 cells, instead of the original limit of up to 2^31-1 cells. Due to some GUI errors caused by the new feature, it is necessary to run ARX via CLI. For more information, see <a href="https://github.com/arx-deidentifier/arx/pull/299" target="_blank" rel="noopener">this issue</a>.</p> <p><strong>License</strong></p> <p><a href="https://choosealicense.com/licenses/unlicense/" target="_blank" rel="noopener">The Unlicense</a>.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_6533684 |
| institution | Zenodo |
| language | eng |
| publishDate | 2022 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | INEP (syntactic) Anonymization Nunes, Gabriel Henrique inep microdata arx java <p><strong><a href="https://github.com/nunesgh/inep-anonymization" target="_blank" rel="noopener">INEP (syntactic) Anonymization</a></strong></p> <p>Code and attributes hierarchies used for the anonymization process of INEP datasets using <a href="https://github.com/arx-deidentifier/arx" target="_blank" rel="noopener">ARX Deidentifier</a> tool.</p> <p>The resulting datasets were used for vulnerability assessment using the <a href="https://github.com/nunesgh/bvm-library" target="_blank" rel="noopener">BVM library</a> (<a href="https://doi.org/10.5281/zenodo.6533704" target="_blank" rel="noopener">10.5281/zenodo.6533704</a>). The assessment results were published in: Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Carroll Morgan, Gabriel H. Nunes - <em>Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata</em> (2022, DOI: <a href="https://doi.org/10.56553/popets-2022-0114" target="_blank" rel="noopener">10.56553/popets-2022-0114</a>, arXiv: <a href="https://arxiv.org/abs/2204.13734" target="_blank" rel="noopener">2204.13734</a>).</p> <p>We randomly selected only one record for each student with a same unique pseudonymization code (<code>ID_ALUNO</code>) in each dataset. The enrollment code (<code>ID_MATRICULA</code>) for each selected record is available in <a href="https://doi.org/10.5281/zenodo.6533675" target="_blank" rel="noopener">10.5281/zenodo.6533675</a> (<a href="https://gitlab.com/nunesgh/inep-enrollment-codes" target="_blank" rel="noopener">gitlab.com/nunesgh/inep-enrollment-codes</a>).</p> <p><strong>ARX version</strong></p> <p>The <code>jar</code> files in <code>arx/jars/</code> were compiled from the <a href="https://github.com/ramongonze/arx" target="_blank" rel="noopener">ARX fork</a> made by <a href="https://github.com/ramongonze" target="_blank" rel="noopener">@ramongonze</a>, based on commit <a href="https://github.com/ramongonze/arx/commit/8a936d3d5607b8f10957c16c1e2781d94b9f2904" target="_blank" rel="noopener">8a936d3</a> and using the command:</p> <pre><code>ant -buildfile build.xml</code></pre> <p>This fork allows for the creation of matrices with up to (2^31-1)^2 cells, instead of the original limit of up to 2^31-1 cells. Due to some GUI errors caused by the new feature, it is necessary to run ARX via CLI. For more information, see <a href="https://github.com/arx-deidentifier/arx/pull/299" target="_blank" rel="noopener">this issue</a>.</p> <p><strong>License</strong></p> <p><a href="https://choosealicense.com/licenses/unlicense/" target="_blank" rel="noopener">The Unlicense</a>.</p> |
| title | INEP (syntactic) Anonymization |
| topic | inep microdata arx java |
| url | https://doi.org/10.5281/zenodo.6533684 |