Privacy-Utility Tradeoff: Studying the Boundaries of Anonymization in Health Data Visualization Design
DOI:
https://doi.org/10.71451/ISTAER2539Keywords:
Health data; Privacy protection; Utility trade-off; Anonymization techniques; Visualization design; Differential privacyAbstract
With the increasing prevalence of health data, how to maximize the utility of data while ensuring privacy protection has become a core issue in health data visualization design. This paper explores the issue of anonymization boundaries in health data visualization design, focusing on the trade-off between privacy and utility. Through theoretical analysis and experimental verification, the application effects of different anonymization techniques in visualization are studied, and the optimal balance between privacy protection and visualization utility is proposed. Experimental results show that under moderate anonymization boundary settings, privacy protection and data utility can be effectively balanced, preventing privacy leaks while retaining sufficient analytical value. This study provides theoretical support for the selection of privacy protection technologies and the setting of anonymization boundaries in health data visualization and offers new perspectives and directions for future research.
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