APPLICATION OF ADAPTIVE CLUSTERING ALGORITHM ON DDOS ATTACKS DETECTION
The k-means algorithm in DDoS attack detection is sensitive to the initial cluster centers and need to input the number of clusters. For the above two drawbacks, a new adaptive clustering algorithm based on dynamic index and the initial center selection is proposed, and use it we established the DDoS attack detection model. Then the detection model is tested by using the LLS_DDoS_1.0 data sets, and compares with the A-means algorithm. The result show that the method improves the detection rate and reduces the false alarm rate is an effective detection method.
DDoS attacks detection k-means algorithm: dynamic index Adaptive cluster algorithm
LI SHAO-DONG LI LI-JUAN
Information Science and Engineering Hunan University Changsha, China
国际会议
3rd International Conference on Mechanical and Electrical Technology(ICMET2011) (2011第三届机械与电气技术国际会议)
大连
英文
679-683
2011-08-26（万方平台首次上网日期，不代表论文的发表时间）