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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259827
