尹向东. 基于正态云模型的网络入侵检测[J]. 微电子学与计算机, 2010, 27(10): 34-36,40.
引用本文: 尹向东. 基于正态云模型的网络入侵检测[J]. 微电子学与计算机, 2010, 27(10): 34-36,40.
YIN Xiang-dong. Network Intrusion Detection Based on Normal Cloud Model[J]. Microelectronics & Computer, 2010, 27(10): 34-36,40.
Citation: YIN Xiang-dong. Network Intrusion Detection Based on Normal Cloud Model[J]. Microelectronics & Computer, 2010, 27(10): 34-36,40.

基于正态云模型的网络入侵检测

Network Intrusion Detection Based on Normal Cloud Model

  • 摘要: 将正态云模型用于网络入侵检测, 并提出一种基于正态云模型的网络入侵检测算法, 算法首先采取特征提取并计算影响权值因子, 引入云发生器计算属性特征值和差异度, 入侵判断采用综合评价值, 减少了单个属性造成的局部影响.实验结果表明, 该方法能够比较有效地检测真实网络数据中的未知入侵行为, 在一定程度上解决了目前部分入侵检测算法存在的检测率低、误报率高的问题.

     

    Abstract: In this paper, the normal cloud model for network intrusion detection, and a normal cloud model is based on the network intrusion detection algorithms, to take the first feature extraction algorithm and calculate the impact of weight factor, the introduction of cloud computing attributes generators and difference eigenvalue, the value of comprehensive evaluation of the application to judge the invasion, resulted in a reduction of a single attribute of the local impact.The experimental results show that this method can detect more effective network data in real unknown intrusions, to a certain extent to solve some of the current intrusion detection algorithms detect the existence of the low rate of high false alarm rate.

     

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