Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60456
Title: Decision analysis of statistically detecting distributed denial-of-service flooding attacks
Authors: Li, M
Chi, C
Jia, W
Zhao, W
Zhou, W
Cao, J 
Long, D
Meng, Q
Keywords: Statistical decision making
Statistical detection
Network security
Distributed denial-of-service attacks
Pattern matching
Issue Date: 2003
Publisher: World Scientific
Source: International journal of information technology and decision making, 2003, v. 2, no. 3, p. 397-405 How to cite?
Journal: International journal of information technology and decision making 
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.
URI: http://hdl.handle.net/10397/60456
ISSN: 0219-6220 (print)
1793-6845 (online)
DOI: 10.1142/S0219622003000720
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

35
Last Week
1
Last month
Checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.