Title :
The Research of Generation Algorithm of Detectors in Immune-Based Detection Model
Author :
Zhao, Bingje ; Sun, Fuxiong ; Xie, Wei
Author_Institution :
Logistics Eng. Coll., Shanghai Maritime Univ., Shanghai
Abstract :
In this paper, as the generation of naive B-cell in natural immune system, the concept of minimum set of candidate detectors (M) is introduced to cover the whole area of ID problems completely. Then the mechanism of initializing and storing set M are analyzed and provided. Based on M, a new negative selection algorithm (M-based Negative Selection Algorithm, MBNSA) is proposed. As compared with traditional algorithms, MBNSA generates detectors with higher efficiency. Additionally, to the problems arisen by blind and random detectorpsilas generation, two improved methods of MBNSA is put forward to realize the mechanism "detecting only when need". Experimental results demonstrate the efficiency of the proposed schemes.
Keywords :
artificial immune systems; security of data; set theory; M-based negative selection algorithm; blind detector generation algorithm; immune-based intrusion detection model; minimum candidate detector set; naive B-cell generation; natural immune system; random detector generation algorithm; Computer hacking; Detectors; Educational institutions; Immune system; Intrusion detection; Knowledge acquisition; Knowledge engineering; Logistics; Protection; Proteins; intrusion detection; natural immune system; negative selection;
Conference_Titel :
Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3488-6
DOI :
10.1109/KAM.2008.89
