{"repo":"arx-deidentifier/arx","free":true,"listed":false,"github":"https://github.com/arx-deidentifier/arx","clone":"git clone https://github.com/arx-deidentifier/arx.git","description":"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.","language":"Java","stars":733,"topics":["arx","privacy","data-anonymization","de-identification","data-analytics","open-source","cross-platform"],"license":"Apache-2.0","category":"self-hosted-apps","readme_excerpt":"ARX - Open Source Data Anonymization Software ==== Note ------ ARX is the result of a research project. To support our research, please cite one of our papers instead of referencing our website in scientific articles. You can find an overview of papers about ARX here. If you are not sure which paper to cite, we recommend this one: Prasser F., Eicher J., Spengler H., Bild R., Kuhn K. A. (2020) Flexible Data Anonymization Using ARX — Current Status and Challenges Ahead. Software Pract Exper 2020;1–28. (Link) Thanks! Introduction ------ ARX is a comprehensive open source software for anonymizing sensitive personal data. It has been designed from the ground up to provide high scalability, ease of use and a tight integration of the many different aspects relevant to data anonymization. Its highlights include: Utility-focused anonymization using different statistical models Syntactic privacy models, such as k-anonymity, ℓ-diversity, t-closeness and δ-presence Semantic privacy models, such as (ɛ, δ)-differential privacy Methods for optimizing the profitability of data publishing based on monetary cost-benefit analyses Data transformation with generalization, suppression, microaggregation and top/bottom coding as well as global and local recoding Methods for analyzing data utility Methods for analyzing re-identification risks The software is able to handle very large datasets on commodity hardware and features an intuitive cross-platform graphical user interface. You can find further","default_branch":null,"files":null,"tree":[],"storefront":"/r/arx-deidentifier","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/arx-deidentifier/arx/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}