本页部分内容以其撰写时的语言显示，因为翻译尚未完成。
要点
- Supports multiple privacy models like k-anonymity and t-closeness.
- Provides tools for data generalization and suppression.
- Includes functionality for assessing re-identification risks.
- Allows visualization of the trade-off between data utility and privacy.
关于此应用
ARX is a software application designed for the anonymization of sensitive personal data. It provides a framework for transforming datasets to reduce the risk of re-identification while maintaining the utility of the information for statistical analysis. The tool implements various privacy models, including k-anonymity, l-diversity, t-closeness, and delta-presence, allowing users to define specific privacy requirements based on their data protection needs. It supports data transformation techniques such as generalization, suppression, and microaggregation to modify attributes within a dataset.
The application operates on Linux systems and offers a graphical user interface for configuring anonymization parameters and visualizing the impact of transformations on data quality. Users can import data from various formats, perform risk analysis, and export the resulting anonymized datasets. It is intended for researchers and data analysts who need to prepare data for sharing or publication while adhering to privacy standards.
获取途径
Linux
- 在 Flathub 上打开在新标签页中打开软件包仓库Flathub
来自发布者
在终端中安装
flatpak install flathub org.deidentifier.arx
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