With the continuous development of network intrusion technology, the behavior of intrusions shows characteristics such as uncertainty, complexity, and diversity. Intrusion detection faces many key problems to be solved. This paper introduces in detail the design and specific implementation of an intrusion detection system based on data mining, that is, data mining technology for data preprocessing and classification and clustering mining. In data preprocessing, we use a method based on attribute extraction to remove interference attributes. Finally, we tested the system. Through the test results, we found that the mining efficiency and accuracy are good, and the system can effectively detect known and unknown attacks. Keywords: Intrusion Detection; Data Mining; Information Security Abstract: As the development of the network intrusion technology, the action of intrusionrepresents variable, complicated, and uncertainty characteristic. Therefore, it faces so manyproblems to resolve for intrusion detection. We introduce the design and implementation of the system which adopt the Data Mine technology of data pretreatment, classify and cluster patterns mine. We use the method based on features selection to get rid of noises. Finally, we give a test to the system. Through the test, we find that our intrusion detection system is efficient to detect known and unknown attack.Keywords: Intrusion Detection; Data Mining; Information Security
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