| 聚类分析在入侵检测中的应用 |
| |
| 引用本文： | 孙珊珊.聚类分析在入侵检测中的应用[J].河北省科学院学报,2010,27(3):31-34. |
| |
| 作者姓名： | 孙珊珊 |
| |
| 作者单位： | 河北省电子信息技术研究院信息化测评中心,河北石家庄050071 |
| |
| 摘 要： | 在对现有的入侵检测技术研究的基础上,着重对数据挖掘技术中的聚类分析方法在入侵检测领域中的应用进行了研究。通过分析网络中数据的特点,提出了一种基于改进的k-means算法的无监督二次聚类算法,并用入侵检测权威数据集KDD Cup1999作为实验数据将其实现,实验表明,该算法具有较高的检测率和较低的误检率。
|
| 关 键 词： | 入侵检测 数据挖掘 聚类分析 |
The Application of clustering Analysis in the Intrusion Detection |
| |
| SUN Shan-shan.The Application of clustering Analysis in the Intrusion Detection[J].Journal of The Hebei Academy of Sciences,2010,27(3):31-34. |
| |
| Authors: | SUN Shan-shan |
| |
| Institution: | SUN Shan-shan ( Center of Informatization Evaluation, Hebei Electronic ＆ Information Technology Academy, Shijiazhuang Hebei 050011 ,China) |
| |
| Abstract: | On the basis of the research on current intrusion detection technology, the application of clustering analysis in intrusion detection field is described. A twice clustering algorithm without supervising based on improved K-means algorithm is put forward by analyzing the data in the net. And the algorithm is actualized by using KDD Cup 1999 which is the authoritative data in intrusion detection. The experiment proves that the new algorithm has high right detecting rate and low error detecting rate. |
| |
| Keywords: | Intrusion detection Data mining Clustering analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
