Research of Intrusion Detection Based on Neural Network
Li Gang · Journal of Anqing Teachers College · 2008
Intrusion Detection is a kind of active voluntary safe protection technique.Intrusion Detection system(IDS) can be divided into Host-based IDS and Network-based IDS.Compared with other safe products such as fire wall,they still have a lot of blemishes.The Artificial Neural Network can acquire the classification knowledge of the normal and abnormal data through a great deal of study on training sample,and carry on identify to the abnormal data for invade.So the author gives the Intrusion Detection System according to BP(Back Propagation) network.From the experiment data,the system achieves a decent effect on test whole rate and error check rate on testing stage.Moreover,in times of real checking for the quick speed of the reaction in attacking and scaning,as long as setting up the warning mechanism,the system will immediately inform the management to adopt appropriate measure and protect its safety once the possible behavior of invade is examined.