A network-wide traffic anomaly detection method based on HSMM

被引：2
|
作者：
Min, Li [1 ]
Shun-Zheng, Yu [2 ]
机构：
[1] Zhongshan Univ, Dept Elect & Commun Engn, Guangzhou 510275, Peoples R China
[2] Sun Yat Sen Univ, Dept Elect & Commun Engn, Guangzhou 510275, Guangdong, Peoples R China
来源：
2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING | 2006年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/ICCCAS.2006.284987
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Hidden semi-Markov Model (HsMM) has been well studied and widely applied to many areas. The advantage of using an HsMM is its efficient forward-backward algorithm for estimating model parameters to best account for an observed sequence. In this paper, we propose an HsMM to model the distribution of network-wide traffic and use an observation window to distinguish DoS flooding attacks mixed within the normal background traffic. Several experiments are conducted to validate our method.
引用
收藏
页码：1636 / +
页数：2
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