基于Rough集理论的数据库推理通道动态消除

提出了一种基于Rough集理论的数据库推理泄漏通道消除方法。在由数据库中所有数据生成的不完备决策表上,该方法应用Rough集理论,分析提取出敏感和非敏感数据之间的确定性推理关系,以此产生推理控制规则。利用这些规则对数据库系统返回给普通用户的数据动态地做最小修改,防止推理通道的产生。实验结果表明,该方法可扩展性强,在保证较高的数据库安全性的同时提高了数据可用性。

Dynamic Elimination of Inference Channels in the Database Based on Rough Set Theory

This paper describes an approach to elimination of inference channels in the database based on rough set theory. The approach builds an incomplete decision table on all data in the database, then analyzes and discovers all the relations between non-sensitive and sensitive data with rough set theory. According to these relations, rules of inference control are generated and used to modify the data queried by generic users dynamically and most parsimoniously so as to eliminate inference channels. Experimental result shows that the approach is scalable and preserves security of inference control while improving availability of the data in the database.