提出了一种k-均值聚类算法和SOM自组织神经网络算法相结合的异常检测模型,使得系统可以更好的分类正常数据流和异常数据流,以此来防范未知的攻击。
Secondly, the anomaly detection model based on K-means algorithm and SOM network is constructed. It can classify the normal and abnormal network data stream so better to detect the unknown attack.
提出了一种k-均值聚类算法和SOM自组织神经网络算法相结合的异常检测模型,使得系统可以更好的分类正常数据流和异常数据流,以此来防范未知的攻击。
Secondly, the anomaly detection model based on K-means algorithm and SOM network is constructed. It can classify the normal and abnormal network data stream so better to detect the unknown attack.
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