Decision analysis of network-based intrusion detection systems for denial-of-service attacks

被引：0

作者：

Li, M ^{[1
]}

Jia, WJ ^{[1
]}

Zhao, W ^{[1
]}

机构：

[1] City Univ Hong Kong, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China

来源：

2001 INTERNATIONAL CONFERENCES ON INFO-TECH AND INFO-NET PROCEEDINGS, CONFERENCE A-G: INFO-TECH & INFO-NET: A KEY TO BETTER LIFE | 2001年

关键词：

detection; network security; denial-of-service attacks; self-similar traffic; pattern matching;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Two of practical issues in designing a network-based intrusion detection system for denial-of-service attacks are how to represent the distributions of detection probability, false alarm probability and miss probability; how to achieve a high detection probability, a low false alarm probability and a low miss probability for decision making. This paper gives the representations to describe three probability distributions. Based on them, the authors derive a detection region within which one may achieve a high detection probability, a low false alarm probability and a low miss probability by selecting a suitable threshold value. A case study is demonstrated.

引用

页码：E1 / E6

页数：6

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