大型差异数据库中入侵路径恢复模型分析

Large Difference Database Intrusion Path Recovery Model Analysis

在大型差异数据库中,假设入侵特征存在较大的伪装,将难以形成入侵判断的依据,无法建立入侵路径恢复模型;提出基于敏感性数据挖掘方法的大型差异数据库中入侵路径恢复方法模型;利用主成分分析方法搜索大型差异数据路中的入侵路径,为模型的建立提供准确的数据基础,利用敏感性数据挖掘方法能够检测到入侵路径的特征,从而能够建立准确的入侵路径模型;实验结果表明,利用改进方法进行大型差异数据库中入侵路径恢复,能够提高恢复的准确性,从而保证大型差异数据库的安全。

In the large difference database,if invasion characteristics exist larger camouflage,invasion judgment will be difficult to form the basis,intrusion path recovery model can not be established.Sensitivity is proposed based on data mining method of large difference database intrusion path recovery method model.Using the method of principal component analysis search invasion path,providing accurate data basis for the establishment of the model,using the sensitivity of the data mining method can detect intrusion path characteristics,thus to establish accurate intrusion path model.Experimental results show that the improved method in the database intrusion path recovery,to improve the accuracy of the recovery,so as to ensure the safety of large differences database.