DocumentCode
3009049
Title
Evaluation of the Fisher discriminant and chi-square distance metric in network intrusion detection
Author
Hixon, Rena ; Gruenbacher, Don M.
Author_Institution
Electr. & Comput. Eng., Wichita State Univ., KS, USA
fYear
2004
fDate
38079
Firstpage
119
Lastpage
124
Abstract
As connectivity between computer systems increase, so does the need for computer security. Intrusion detection adds another dimension to computer security. When prevention methods fail, intrusion detection systems are used to recognize attacks as they occur. The focus of this paper is to evaluate the effectiveness of the Fisher Discriminant and the Chi-square distance metric for network intrusion detection.
Keywords
computer networks; covariance matrices; normal distribution; pattern classification; telecommunication security; transport protocols; Fisher discriminant; IP headers; TCP headers; between-scatter matrices; chi-square distance metric; computer security; computer systems connectivity; covariance matrix; network intrusion detection; network packets; normal distribution; pattern classifier; Computer networks; Computer security; Data security; Intelligent networks; Intrusion detection; Neural networks; Pattern recognition; Protection; TCPIP; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Region 5 Conference: Annual Technical and Leadership Workshop, 2004
Print_ISBN
0-7803-8217-X
Type
conf
DOI
10.1109/REG5.2004.1300179
Filename
1300179
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