Network anomaly detection using nonextensive entropy

被引：37
|
作者：
Ziviani, Artur
Gomes, Antonio Tadeu A.
Monsores, Marcelo L.
Rodrigues, Paulo S. S.
机构：
来源：
IEEE COMMUNICATIONS LETTERS | 2007年 / 11卷 / 12期
关键词：
network anomaly detection;
D O I：
10.1109/LCOMM.2007.070761
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Detection is a crucial step towards efficiently diagnosing network traffic anomalies within an Autonomous System (AS). We propose the adoption of nonextensive entropy - a one-parameter generalization of Shannon entropy - to detect anomalies in network traffic within an AS. Experimental results show that our approach based on nonextensive entropy outperforms previous ones based on classical entropy while providing enhanced flexibility, which is enabled by the possibility of fine-tuning the sensitivity of the detection mechanism.
引用
收藏
页码：1034 / 1036
页数：3
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