基于无监督聚类混合遗传算法的入侵检测方法

在利用聚类进行入侵检测的方法中，有效地进行聚类是关键。为了对未标识数据进行聚类，提出了一种新的无监督入侵检测方法。该方法克服了聚类算法中对数据输入顺序敏感和需要预设聚类数目的缺点,减少了所需参数个数。通过初始聚类簇的建立和混合遗传算法对初始聚类进行优化组合两阶段的方法来实现聚类，克服了初始聚类对结果的影响，提高了聚类质量，并进行检测入侵。实验结果表明该方法有较好的检测率和误检率。

Intrusion detection based on unsupervised clustering and hybrid genetic algorithm

Among the methods of intrusion detection with clustering,how to make clustering effectively is a critical problem.A new unsupervised clustering method was proposed in this paper.The method can overcome the shortcoming of sensitivity to the order of input dates and necessity to know the cluster number before it works,and it also can reduce the number of parameters'.By the two stage of creating initial clusters and optimation of the first stage with hybrid genetic clustering method,it can overcome the influen...