DDoS detection and traceback with decision tree and grey relational analysis

  • Authors:
  • Yi-Chi Wu;Huei-Ru Tseng;Wuu Yang;Rong-Hong Jan

  • Affiliations:
  • Department of Computer Science, National Chiao Tung University, Hsinchu 30010, Taiwan.;Industrial Technology Research Institute, Hsinchu, 31040, Taiwan.;Department of Computer Science, National Chiao Tung University, Hsinchu 30010, Taiwan.;Department of Computer Science, National Chiao Tung University, Hsinchu 30010, Taiwan

  • Venue:
  • International Journal of Ad Hoc and Ubiquitous Computing
  • Year:
  • 2011

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Abstract

In Distributed Denial-of-Service (DDoS) Attack, an attacker breaks into many innocent computers (called zombies). Then, the attacker sends a large number of packets from zombies to a server, to prevent the server from conducting normal business operations. We design a DDoS-detection system based on a decision-tree technique and, after detecting an attack, to trace back to the attacker's locations with a traffic-flow pattern-matching technique. Our system could detect DDoS attacks with the false positive ratio about 1.2-2.4%, false negative ratio about 2-10%, and find the attack paths in traceback with the false negative rate 8-12% and false positive rate 12-14%.