基于多分簇级联融合的差异数据库安全访问

Research of Security Access of Differential Database Based on Integration of Multi-Cluster

提出一种基于多分簇系统级联融合的安全访问方法,首先对所有的访问数据进行多级分簇,依照数据的访问特性,将不同的数据分配到不同的簇结构,然后对各个簇的特征进行融合处理,提取簇数据的深度特征,从而区分正常访问数据与异常攻击数据。最后采用一组正常数据加异常数据联合访问进行测试,结果显示,采用基于多分簇系统级联融合的安全访问控制,即使是在攻击数据率很高时,系统也能很好的分辨出正常数据与异常攻击,具有很好的应用价值。

The security access of database was proposed based on integration of multi-cluster system, firstly, the access data was divided into many multi-level clustering, according to the data access characteristics, the different data structureswere assigned to different clusters, and the characteristics of each cluster was fused together, and with which, the normaland abnormal attack data access data were separated. Finally, a team of data with normal and abnormal data was used totest the ability, and the result shows that with integration of multi-cluster system, even high data rates in the attack, the data can be distinguished well, so it has good application value.