A formalized taxonomy of DDoS attacks based on similarity

Authors:
Jian Kang;Yuan Zhang;Jiu-bin Ju
Affiliations:
Department of Computer Science & Technology, Jilin University, Changchun, China;Department of Computer Science & Technology, Jilin University, Changchun, China;Department of Computer Science & Technology, Jilin University, Changchun, China
Venue:
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Year:
2006

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Abstract

Distributed Denial of Service (DDoS) attacks have posed an immense threat to the Internet. Various DDoS attack tools and their late editions come to the fore and DDoS .eld rapidly becomes more and more complex. In order to understand and deal with DDoS attacks, it is of great signi.cance to classify them. Thus, a formalized and scalable taxonomy is needed, and in this paper, the taxonomy is proposed as follows: The basic idea of the taxonomy is to use Hierarchical Clustered method to classify various DDoS attacks based on similarity. It is necessary to abstractly describe attacks for problem formulation and to measure distance between different attacks for clustering analysis.