High risk intrusion data mining algorithm based on large database

Abstract

The current method of data mining has poor mining accuracy. Therefore, this paper proposes a fuzzy clustering data mining algorithm of SFLA based on selection and mutation mechanism. The algorithm firstly collects the intrusion data and extracts the features. Then the fuzzy clustering SFLA algorithm is used to complete the research of data mining algorithm in high risk intrusion. Experimental results show that the proposed algorithm improves the accuracy of data mining

Subject Classification:

• MSC2010
• 94A99

Keywords:

• High risk intrusion data
• Data mining
• Data clustering
• Hybrid frog