To solving other security productions " disadvantages , this paper divides the network facility into five levels using artificial immune system ' s multilayer defence mechanism and fuzzy recognition , such as hardware performance , network data , system processes , system data and application service etc . and this method sets many detective parameters on each level . so using these parameters the method can detect the network ' s security status and intrusions to protect the whole network 针对现有产品的这一缺陷，本文根据仿生学人工免疫系统中的多层防御机制结合模糊数学的模糊识别算法，在网络设备上划分了硬件性能、网络数据、系统进程、系统数据、应用服务等五个层次，并在每个层次上设置了大量的检测参数，通过这些检测参数对网络状态和入侵行为进行模糊识别，从而全方位的保护网络及其设备的安全。
