Technique of intrusion detection based on Neural Network- A review

In recent years, frequent introduce a many kinds of intrusion while the growing of technology. We need to improved intrusion detection techniques. Intrusion detection techniques can be classified on the basis of source of data and its behavior. A convenient way to detect the legitimate use is through the monitoring the unwanted activity. Current techniques used in computer security are not able to cope with the dynamic and increasingly complex nature of computer systems and their security. The strength of ANN is to identify and classify the network activities based on incomplete, nonlinear data source. Here we collate the development of the systems and the outcome of their implementation. It provides an introduction and activity of the key development within this field, in regard to making suggestions for future research.