We present a probabilistic packet filtering (PPF) mechanism to defend the Web server against Distributed Denial-of-Service (DDoS) attacks. To distinguish abnormal traffics from normal ones, we use Traffic Rate Analysis (TRA). If the TRA mechanism detects DDoS attacks, the proposed model probabilistically filters the packets related to the attacks. The simulation results demonstrate that it is useful to early detect DDoS attacks and effective to protect the Web servers from DDoS attacks. © IFIP International Federation for Information Processing 2005.
CITATION STYLE
Seo, J. T., Lee, C. H., Kim, J., Shon, T., & Moon, J. (2005). Probabilistic packet filtering model to protect web server from DDoS attacks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3779 LNCS, pp. 351–354). https://doi.org/10.1007/11577188_50
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