Decision analysis of statistically detecting distributed denial-of-service flooding attacks

M. Li; C. Chi; W. Jia; W. Zhao; W. Zhou; Jiannong Cao; D. Long; Q. Meng

doi:10.1142/S0219622003000720

Decision analysis of statistically detecting distributed denial-of-service flooding attacks

M. Li, C. Chi, W. Jia, W. Zhao, W. Zhou, Jiannong Cao, D. Long, Q. Meng

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

There are two statistical decision making questions regarding statistically detecting sings of denial-of-service flooding attacks. One is how to represent the distributions of detection probability, false alarm probability and miss probability. The other is how to quantitatively express a decision region within which one may make a decision that has high detection probability, low false alarm probability and low miss probability. This paper gives the answers to the above questions. In addition, a case study is demonstrated.

Original language	English
Pages (from-to)	397-405
Number of pages	9
Journal	International Journal of Information Technology and Decision Making
Volume	2
Issue number	3
DOIs	https://doi.org/10.1142/S0219622003000720
Publication status	Published - 2003

Keywords

Statistical decision making
Statistical detection
Network security
Distributed denial-of-service attacks
Pattern matching

ASJC Scopus subject areas

Computer Science (miscellaneous)

More information

10.1142/S0219622003000720

Cite this

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title = "Decision analysis of statistically detecting distributed denial-of-service flooding attacks",

abstract = "There are two statistical decision making questions regarding statistically detecting sings of denial-of-service flooding attacks. One is how to represent the distributions of detection probability, false alarm probability and miss probability. The other is how to quantitatively express a decision region within which one may make a decision that has high detection probability, low false alarm probability and low miss probability. This paper gives the answers to the above questions. In addition, a case study is demonstrated.",

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AU - Chi, C.

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AU - Zhou, W.

AU - Cao, Jiannong

AU - Long, D.

AU - Meng, Q.

PY - 2003

Y1 - 2003

N2 - There are two statistical decision making questions regarding statistically detecting sings of denial-of-service flooding attacks. One is how to represent the distributions of detection probability, false alarm probability and miss probability. The other is how to quantitatively express a decision region within which one may make a decision that has high detection probability, low false alarm probability and low miss probability. This paper gives the answers to the above questions. In addition, a case study is demonstrated.

AB - There are two statistical decision making questions regarding statistically detecting sings of denial-of-service flooding attacks. One is how to represent the distributions of detection probability, false alarm probability and miss probability. The other is how to quantitatively express a decision region within which one may make a decision that has high detection probability, low false alarm probability and low miss probability. This paper gives the answers to the above questions. In addition, a case study is demonstrated.

KW - Statistical decision making

KW - Statistical detection

KW - Network security

KW - Distributed denial-of-service attacks

KW - Pattern matching

U2 - 10.1142/S0219622003000720

DO - 10.1142/S0219622003000720

M3 - Journal article

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JO - International Journal of Information Technology and Decision Making

JF - International Journal of Information Technology and Decision Making

IS - 3

ER -

Decision analysis of statistically detecting distributed denial-of-service flooding attacks

Abstract

Keywords

ASJC Scopus subject areas

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