Intrusion Detection Method Based on Data Mining Algorithm
Xiaohong Chen · Jisuanji gongcheng · 2010
How to select original clustering cores of K-Means and DBSCAN is important to the result of data mining.Aiming at the problem,this paper improves the method of selecting original clustering cores via entropy.It applies improved K-Means and DBSCAN to the intrusion detection system,and does anomaly detection test on a common set of records in the system.Experimental result proves that the method is effective.