A Study of Intrusion Detection Based on Algorithm of FP-Growth
Sun Zhi-qiang · Computer Technology and Development · 2006
Data mining can find the relation between pattern and data from the large number of data and the forecast will be made.In order to adapt to the real-time nature of the intrusion of testing requirements,and enhance the efficiency of algorithms,presented to the FP-Growth algorithms that improves FP-tree table structures and the introduction of key attributes to intrusion detection system.The experimental results showed improved algorithm has better results than traditional association algorithm in the application of intrusion detection.Accordig to the result,FP-Growth algorithm is useful to intrusion detection.