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

作　　者：李冠楠[1] 赵艳丽[2] 李强[1] 

机构地区：[1]顺德职业技术学院电子与信息工程系,广东顺德528300 [2]南阳师范学院计算机与信息技术学院,河南南阳473061

出　　处：《科技通报》2012年第6期112-113,116,共3页Bulletin of Science and Technology

基　　金：河南省重点攻关项目(112102210408)

摘　　要：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.

关 键 词：网络入侵变异 特征变异预测 入侵检测 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]