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 publicationJournal articleAcademic researchpeer-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 languageEnglish
Pages (from-to)397-405
Number of pages9
JournalInternational Journal of Information Technology and Decision Making
Volume2
Issue number3
DOIs
Publication statusPublished - 2003

Keywords

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

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this