DocumentCode :
2587140
Title :
Simulation Modeling of Network Intrusion Detection Based on Artificial Immune System
Author :
Yu Jing ; Wang Feng
Author_Institution :
New Star Res. Inst. of Appl. Technol., Hefei, China
Volume :
2
fYear :
2010
fDate :
19-20 Dec. 2010
Firstpage :
145
Lastpage :
148
Abstract :
There is much comparability between natural immune system and computer security, and the key point is how to distinguish self from other. Based on the principles and structures of artificial immune system, the simulation modeling of network intrusion detection was developed. The model consisted of many nodes that distributed across different locations. The nodes needed not be centralized controlled. The purpose of model was to distinguish between illegitimate behavior (non-self) and legitimate behavior (self). In case of finding abnormity, model could give an alarm to user.
Keywords :
artificial immune systems; computer network security; artificial immune system; computer security; illegitimate behavior; legitimate behavior; network intrusion detection; simulation modeling; Artificial immune systems; Computational modeling; Computers; Detectors; Intrusion detection; Strontium; artificial immune system; computer security; detector; instruction detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering (WCSE), 2010 Second World Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9287-9
Type :
conf
DOI :
10.1109/WCSE.2010.78
Filename :
5718366
Link To Document :
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