Research On Detector Generating Algorithm Based On Artificial Immune System

Inspired by the biologic immune system, modeling of biological immune system principle, function and the model of artificial immune, providing a new thinking and method for people to solve complex problems. Because of the similarity between the intrusion detection system and biological immune system, apply artificial immune to intrusion detection system as the research becomes the focus in the field of computer security.Based on artificial immune, intrusion detection system through the detector to produce relatively unlimited intrusion detection, therefore it is based on the detector artificial immune intrusion detection system, the core of the detector will have a direct impact on the detection performance of intrusion detection system. This paper is centering on the generating of detector for a more in-depth study.First, in the brief review of the intrusion detection system, development, technology and the problems existing in the of its development trend, Then introduce biological immune system principle, structure and composition, on the basis of the analysis of the artificial immune algorithm.Secondly, through to the negative selection algorithm analysis and study, points out the existing problems as well as the solution to the problem of the algorithm. In order to improve the performance of the detector, adopt the clonal selection algorithm based on niche for detector evolution; On the analysis of the causes of the holes has been put forward, based on a fast calculation of loopholes, probes into the number of holes algorithm with Self set number and the relationship between the number and the matching relation and threshold.Finally, test the improved algorithm in simulation experiment to shows the effectiveness of the algorithm through theoretical analysis and experimental data.