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基于粗糙集理论的数据库推理控制 被引量:1

Inference Control of Databases Based on Rough Set Theory
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摘要 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。 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.
出处 《电子科技大学学报》 EI CAS CSCD 北大核心 2007年第3期528-530,537,共4页 Journal of University of Electronic Science and Technology of China
基金 国家自然科学基金资助项目(69931040) 江苏省基金资助项目(BK2004015)
关键词 数据的可用性 推理控制 粗糙集理论 可扩展性 安全数据库 availability of data inference control rough set theory scalability secure databases
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参考文献6

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