An efficient framework for intrusion detection based on data mining

A multi-layer intrusion detection framework is proposed in this paper. Comparing to the traditional system, the framework has sources from all the respects of host computer and network, and calculates connecting volume for each active connection, thus only the suspicious connections would be analyzed, more than 80% packets are normal, and don´t need processing, influence to the system speed is very little. All the information of the host computer is combined to a union, and the properties are expanded and enhanced for the data mining engine, so the mining process is efficient and accurate. Fuzzy mining can also be used in intrusion detecting and rule sets comparing. The framework provides abilities of detection, report and response. Experimental results show the rapidness and accuracy of the proposed framework