Flow‐oriented detection of low‐rate denial of service attacks
Flow‐oriented detection of low‐rate denial of service attacks
复制标题
DOI：
10.1002/dac.2805
复制
发表时间：
2016-01
影响因子：
2.1
通讯作者：
Zhi-jun Wu;Ran Hu;Meng Yue
中科院分区：
文献类型：
--
作者：
Zhi-jun Wu;Ran Hu;Meng Yue
In this paper, an approach of detecting low‐rate denial of service attack is proposed on the basis of principal component analysis algorithm. The proposed approach analyzes low‐rate denial of service attack flows and handles complicated network flows by using principal component analysis algorithm to establish the network traffic matrix model, which is established on the basis of a large number of data acquisitions. Simulation results show that the proposed approach can predigest the high dimension vector, which is composed of networks flows, guarantee the detection precision, and reduce the computation consuming. Copyright © 2014 John Wiley & Sons, Ltd.
