Abstract analysis of detection probability for statistically detecting DDoS attacks

被引：0
作者：
Li, M [1 ]
Chi, CH [1 ]
机构：
[1] So Yangtze Univ, Sch Informat Technol, Wuxi 214036, Peoples R China
来源：
IC'03: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTERNET COMPUTING, VOLS 1 AND 2 | 2003年
关键词：
network security; intrusion detection; DDoS; statistical detection;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For a system regarding statistical detection of distributed denial-of-service (DDoS) flood attacks, a key specification is detection probability. Though there are many features of network data available for statistically detecting DDoS flood attacks, new features may appear as it is the case that new attacking tools are developing fast. For that reason, this paper studies abstract analysis of statistical detection of DDoS flood attacks, which provides a profile to represent detection probability as well as miss probability in general.
引用
收藏
页码：607 / 608
页数：2
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