A multiple sensitive attributes data publishing method with guaranteed information utility

Data publishing methods can provide available information for analysis while preserving privacy. The multiple sensitive attributes data publishing, which preserves the relationship between attributes, may keep many records from being grouped and bring in a high record suppression ratio. Another category of reduces possibility by breaking cannot association analysis. Hence, existing fails to fully account comprehensive utility. To acquire guaranteed utility, this article defines loss that considers both attributes. A heuristic method is leveraged discover optimal anonymity scheme has lowest loss. experimental results verify practice proposed with guarantee utility when compared previous ones.