DDoS detection and traceback with decision tree and grey relational analysis Online publication date: Fri, 11-Mar-2011
by Yi-Chi Wu, Huei-Ru Tseng, Wuu Yang, Rong-Hong Jan
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 7, No. 2, 2011
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%.
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