基于粗糙集理论的数据库推理控制

提出了一种基于粗糙集理论的数据库推理泄漏控制方法。该方法采用粗糙集理论技术,分析、提取出数据库中敏感和非敏感数据之间的联系,根据这些联系和各个属性的重要性,在防止敏感数据被推理泄漏的前提下,对数据库系统返回给普通用户的数据动态地做最小修改。实验结果表明该方法可扩展性强,在保证较高的数据可用性的同时提高了数据库的安全性。

Inference Control of Databases Based on Rough Set Theory

This paper describes an approach to controlling inference disclosure of secure relation databases based on Rough Set Theory (RST). We analyze and discover all the relation between non-sensitive and sensitive data with RST. Then according to the importance of these relations and attributes, data of database queried by generic users are modified dynamically and most parsimoniously with preventing sensitive data being inferred from non-sensitive data. Experimental result shows that the approach is scalable and preserves high availability of data while improving security of inference control.