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ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.

K Anonymity ⭐ 19

Anonymization methods for network security.

Data Anonymization ⭐ 7

K-anonymity and l-diversity implementation

Flinkanonymity ⭐ 5

The aim of the research project is to investigate the potential in using Apache Flink's strengths of parallelizing data streams, in order to anonymize streamed data according to the K-Anonymity and L-Diversity models.

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