基于有效信息比率的否定选择算法研究

In the field of immunity-based intrusion detection ,Negative selection algorithm is an important algorithm .For the problem of negative selection algorithm is not flexible enough in immunity-based intrusion detection neighborhood ,a new algorithm is proposed called neighborhood negative selection algorithm base on effective information ratio by using the method of effective information ratio . The premise of not destroy data ,the algorithm divides dynamically the continuous data , building neighborhood shape space meets the characteristics of network data . Experimental results show that the detection rate can be improved and reduce the overlap rate.