Abstract: Computer security system and biological immune system have much comparability,so the artificial immune algorithm can be applied in intrusion detection system to solve various problems in the field of computer security.After studying the classical algorithm named negative selection algorithm,it was discovered that the matching algorithm would cause the examination black hole.A novel hybrid immune algorithm was proposed to solve the intrusion detection problem.The effectiveness and feasibility of the improved algorithm were verified.This paper partitioned the match string and set different coefficient for each section,thus to eliminate the problem that the r-continual position match algorithm has the constant match probability in the reverse choice algorithm,and to reduce the missing rate of intrusion detection system.This paper also combined the negative selection algorithm with the clonal selection algorithm.This will increase the reproduction,selection and intersection into the produce of detection.Thus the missing rate will be reduced.At last,we compared and analyzed the different parameters,including the section number,threshold value and r-continual parameter.

Key words: Artificial immune,Intrusion detection,Negative selection algorithm,Biological immune system,Clonal selection algorithm