应用数据挖掘算法检测云计算中的DDoS攻击

Application of data mining algorithms to detect DDoS attacks in cloud computing

DDoS攻击给当前网络安全造成了极大威胁,在分析归纳DDoS攻击特征的基础上,针对在云计算中DDoS攻击的特点,设计出基于云计算的DDoS攻击入侵检测模型,将Apriori算法与K-means聚类算法相结合应用到入侵检测模型中。实验表明,在云计算中运用数据挖掘算法建立的入侵检测模型能实时自动准确地检测DDoS攻击。

DDoS attacks cause a great threat to the network security currently. After the analysis and summarization of the characteristics of DDoS attacks, according to characteristics of DDoS attacks in cloud computing, we design a DDoS attacks intrusion detection model based on cloud computing, combining Apriori algorithm and K-means algorithm in the intrusion detection model. Experimental result shows that the model which applies data mining algorithms in cloud computing can detect DDoS attacks swiftly, automatically and accurately.