DocumentCode
445533
Title
On the appropriateness of negative selection defined over Hamming shape-space as a network intrusion detection system
Author
Stibor, Thomas ; Timmis, Jonathan ; Eckert, Claudia
Author_Institution
Darmstadt Univ. of Technol., Germany
Volume
2
fYear
2005
fDate
2-5 Sept. 2005
Firstpage
995
Abstract
Artificial immune systems have become popular in recent years as a new approach for intrusion detection systems. Indeed, the (natural) immune system applies very effective mechanisms to protect the body against foreign intruders. We present empirical and theoretical arguments, that the artificial immune system negative selection principle, which is primarily used for network intrusion detection systems, has been copied to naively and is not appropriate and not applicable for network intrusion detection systems.
Keywords
evolutionary computation; security of data; Hamming shape-space; artificial immune system; negative selection; network intrusion detection system; Artificial immune systems; Computer science; Computer worms; Databases; Detectors; Diseases; Immune system; Intrusion detection; Monitoring; Protection;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN
0-7803-9363-5
Type
conf
DOI
10.1109/CEC.2005.1554799
Filename
1554799
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