DDoS Detection System Based on Data Mining

نویسندگان

  • Rui Zhong
  • Guangxue Yue
چکیده

Distributed denial of service attack(DDoS) brings a very serious threat to send to the stability of the Internet.This paper analyzes the characteristic of the DDoS attack and recently DDoS attack detection method. Presents a DDoS attack detection model based on data mining algorithm. FCM cluster algorithm and Apriori association algorithm used to extracts network traffic model and network packet protocol status model. The threshold is set for detection model. Experimental result shows that DDoS attacks can be detected efficiently and swiftly.

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تاریخ انتشار 2010