DocumentCode :
3263797
Title :
The application of bioinformatics to network intrusion detection
Author :
Takeda, Keiji
Author_Institution :
Carnegie Mellon CyLab Japan, Kobe, Japan
fYear :
2005
fDate :
11-14 Oct. 2005
Firstpage :
130
Lastpage :
132
Abstract :
In this paper, a novel approach that applies bioinformatics algorithms to network intrusion detection is proposed. Network intrusion detection is the problem to detect security violations on or through a network. Misuse detection approach of network intrusion detection which is widely deployed on today´s network environment requires precise signature data and occasionally fails to detect variants of known attacks or new types of attack.
Keywords :
security of data; telecommunication security; bioinformatics; network intrusion detection; security violation detection; signature data; Bioinformatics; DNA; Data security; Intrusion detection; Mathematics; Monitoring; Pattern matching; Protocols; Sequences; Telecommunication traffic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Security Technology, 2005. CCST '05. 39th Annual 2005 International Carnahan Conference on
Print_ISBN :
0-7803-9245-0
Type :
conf
DOI :
10.1109/CCST.2005.1594860
Filename :
1594860
Link To Document :
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