一种基于攻击特征变异预测的网络入侵检测方法

Forecast Intrusion Detection Methods Based on the Characteristics of Network Attack Variation

提出了一种基于攻击特征变异预测的入侵检测方法。通过建立变异特征预测的数学模型,对网络攻击的变异特征进行变种可能性的预测,选取变异的攻击入侵特征值为检测参数,利用特征变异权值迭代预测攻击变异的可能,提高了网络变异入侵检测的准确率。实验证明,此检测方式能够提高变异后的网络入侵检测准确率。

this paper proposes a prediction of the variation characteristics based on against intrusion detection methods.Through the establishment of the mutation characteristics prediction mathematical model of network attack variation characteristics of variant possibilities forecast,the selection of the characteristic value against invasion variation for inspection parameters,the use right of variation characteristics value iteration prediction variable may attack,improve the network intrusion detection accuracy of variation.Experiments show that the detection means to be able to improve the mutated network intrusion detection accuracy rate and satisfactory results have been obtained.