数据分析融合了异常检测和误用检测两种方法,提出了相应的检测模型,并引入了滤噪函数。
The data analysis integrates the two detection methods: anomaly and misuse, which provides corresponding detection models and introduces the noise filtering function.
仿真结果表明,在大多数情况下,学习调整后的知识模型能够提高误用检测系统的检测率。
Test results displayed that, under most circumstances, system detection rate was increased when the attack knowledge model was adjusted after learning.
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