DocumentCode
401762
Title
Study of a multi-shape-gene artificial immune model for network intrusion detection
Author
Lu, Jun ; Feng, Bo-qin ; Li, Bo ; Yuan Rao
Author_Institution
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., China
Volume
4
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
1982
Abstract
This paper presents a novel model of artificial immune system for network intrusion detection. It starts by introducing rationale and techniques of natural immune system and IS-based intrusion detection system. A multi-shape-gene model is presented with its physical and logic architecture, as well as technology of the generation and evolution of genes libraries. Finally the negative selection algorithm is introduced.
Keywords
artificial life; learning (artificial intelligence); security of data; biological immune systems; computer security; logic architecture; multishape-gene artificial immune model; negative selection algorithm; network intrusion detection; physical architecture; Artificial immune systems; Catalogs; Computer architecture; Computer security; Electronic mail; Evolution (biology); Immune system; Intrusion detection; Libraries; Logic;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1259827
Filename
1259827
Link To Document