摘要
通过分析常见异常流量的内在特征,在Chameleon算法的基础上,设计了一种基于聚类的异常流量检测算法。通过对DARPA1998数据集的实验结果表明,该算法能够在没有先验知识的前提下,对影响正常网络性能的异常流量有较高的检测准确率。
Paper proposed a new anomaly traffic detection algorithm based on clustering according to analyzing familiar attack traffic.The algorithm was designed on the basis of Chameleon algorithm.Experiments on the data sets of DARPA1998show that this algo-rithm can detect anomaly traffic accurately.
出处
《微计算机信息》
2010年第9期133-135,共3页
Control & Automation
