Name
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11760146_103 | ISI |
Keywords | Field | DocType |
scalable taxonomy,basic idea,various ddos attack tool,hierarchical clustered method,ddos attack,immense threat,different attack,formalized taxonomy,clustering analysis,various ddos,great signi,hierarchical clustering,distributed denial of service,cluster analysis | Data mining,Denial-of-service attack,Computer science,Computer security,Cluster analysis,Case-based reasoning,Application layer DDoS attack,Scalability,The Internet | Conference |
Volume | ISSN | ISBN |
3975 | 0302-9743 | 3-540-34478-0 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian Kang | 1 | 8 | 1.61 |
| Yu-an Zhang | 2 | 23 | 8.97 |
| Jiubin Ju | 3 | 55 | 13.03 |