基于S-Kohonen的DoS攻击检测算法研究

【】：针对现在DoS攻击检测算法过程中检测效率较低且检测时间比较长的问题,提出了基于S-Kohonen的DoS攻击检测算法。使用此算法实现并量化网络流量数据包的分割,并有效提取累积量特征,在DoS攻击检测过程中使用累积量。对现代入侵检测数据集进行全面的分析,此算法能够实现DoS攻击的全面检测。与传统以网络流量熵值为基础的异常检测算法相比,此算法可有效提高检测的精准度,缩短检测时间。

Research on DoS attack detection algorithm based on S-KohonenLupeng 1,Tang chao 2

: aiming at the problem of low detection efficiency and longer detection time in the current DoS attack detection algorithm, it proposed a DoS attack detection algorithm based on S-Kohonen. With this algorithm could realize and quantify the segmentation of network traffic data packets, and extracted the cumulant feature effectively, so as to use cumulants in the process of DoS attack detection. Through the comprehensive analysis of the modern intrusion detection data sets, it would implementfull detection of DoS attacks. Compared with the traditional anomaly detection algorithm based on the entropy of network traffic, this algorithm could effectively improve the detection accuracy and shorten the detection time.