The detector generating and matching algorithm is important for efficiency and accuracy of the artificial immune system.In order to reduce the time and space consumption of detector generating

and improve efficiency and validity of detector

we present a cutting based detector generating and matching algorithm.Using super cube to present detector and providing the basis of reducing matching algorithm overhead.Using the spatial inclusion relationship to express the matching relationship between detector and antigen

then reducing time and space consumption of matching and in favour of analyzing accuracy.Cutting space to generate detector by location of self in domain

elemiating redundance between detectors

reducing hole of inspecting

and ensuring high efficiency and accuracy of inspecting antigen.Realizing prototype to test and compare with current algorithms.The results prove cutting based detector generating and matching algorithm can improve the performance of the artificial immune system.