An adaptive intrusion detection system based on data mining

The data mining-based adaptive model generation(AMG) is introduced.AMG is a real time structure for implementing data mining-based intrusion detection systems.According to the principle of structural design,the network audit data flow is picked up with open source Snort from network circumstance.Then,simple analysis of intrusion detection is carried out.The analysis result is displayed by visualization interface.