In order to deal with the “dimension curse”problem of real-valued detector in immunity-based in-trusion detection system，we borrowed ideas from the information entropy theory，and a real-valued immune detector dimension-reducing optimization algorithm is proposed in this paper． The optimized detectors can retain the most useful information and work in the low-dimensional shape-space，which can improve the detection efficiency． The experiments show that the dimension － reduced detectors have better detector performances．