Anonymization methods for network security.
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Mar 2, 2025 - Jupyter Notebook
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t-closeness
Here are 14 public repositories matching this topic...
pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.
data-science open open-data datascience anonymity data-analysis data-privacy anonymization privacy-preserving k-anonymity l-diversity t-closeness
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Jan 6, 2026 - Python
ANJANA is a Python library for anonymizing sensitive data
security data-science data privacy databases open-data anonymity data-analytics data-privacy data-anonymization k-anonymity l-diversity t-closeness
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Dec 18, 2025 - Python
Anonymization library for python. Protect the privacy of individuals.
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Sep 21, 2024 - Python
Anonymizing Library for Apache Spark
apache-spark apache differential-privacy privacy-preserving k-anonymity l-diversity t-closeness mondrian-anonymization clustering-anonymization
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Nov 9, 2023 - Python
A simple Python package to quickly run privacy metrics for your data. Obtain the K-anonimity, L-diversity and T-closeness to asses how anonymous your transformed data is, and how it's balanced with data usability.
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Jul 11, 2023 - Python
Comparison of the performance of machine learning models applied on anonymized data with different techniques
data-science machine-learning ml anonymity data-privacy k-anonymity l-diversity t-closeness ml-classifiers
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May 17, 2023 - Jupyter Notebook
Scalable, chunk-wise K-anonymization tool based on the Optimal Lattice Anonymization (OLA) algorithm. It is designed to handle large datasets by processing them in manageable chunks, ensuring data privacy while maintaining utility.
encoding chunking ola large-dataset massive-datasets k-anonymity l-diversity t-closeness skald discernibility record-suppression predictive-tagging
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Jan 8, 2026 - Python
DataShield – KMT Anonymity App
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May 18, 2025 - Jupyter Notebook
This repository contains Python scripts to identify attributes in a dataset and subsequently determine the best QID dimension based on privacy gain and non-uniform entropy.
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Jun 2, 2024 - Python
DataArmor is a cutting-edge tool focused on safeguarding privacy in today's data-driven world using K-anonymity L-diversity and t-closeness privacy model. As the sharing of personal and microdata grows, ensuring the protection of individual identities during data publication and analysis becomes essential.
privacy mondrian anonymisation data-privacy suppression windows-form-application anonymization masking perturbation privacy-preserving correlation-analysis privacy-preserving-data-mining k-anonymity l-diversity t-closeness correlation-analyses k-anomity privacy-preserving-data-publishing multidimentional-mondrian generlization
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Jun 28, 2025 - C#
Application of K-Anonymity, L-Diversity, T-Closeness on numerical or categorial Data.
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Jul 6, 2024 - Jupyter Notebook
Data anonymization project using ARX: applying k-anonymity with l-diversity and t-closeness to evaluate privacy-utility trade-offs on a sensitive dataset.
privacy risk-analysis data-privacy data-anonymization k-anonymity l-diversity t-closeness data-utility arx-tool
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Sep 1, 2025
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