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