Study of Intrusion Detection Algorithm based on Clustering and Decision Tree
Huiying Zhang · Computers & Security · 2010
Intrusion detection is a security technology through real-time monitoring system to detect intrusion attacks.Traditional intrusion detection systems have deficiencies in effectiveness,adaptability and scalability.In order to obtain the clustering results for the global optimal solution,paper improves the traditional fuzzy C-means algorithm,creates a data set belonging to the cluster of C4.5 decision tree for each cluster,and Constructs a new integrated detection algorithm to determine whether there is invasion.Through the experimental analysis,detection algorithm reduce the false alarm rate and improve the detection performance and reliability.