Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40141
Title: Abstract analysis of detection probability for statistically detecting DDoS attacks
Authors: Li, M. 
Chi, C.-H. 
Keywords: DDoS
Intrusion detection
Network security
Statistical detection
Issue Date: 2003
Source: Li, M.,Chi, C.-H. (2003). Abstract analysis of detection probability for statistically detecting DDoS attacks. Proceedings of the International Conference on Internet Computing 2 : 607-608. ScholarBank@NUS Repository.
Abstract: For a system regarding statistical detection of distributed denial-of-service (DDoS) flood attacks, a key specification is detection probability. Though there are many features of network data available for statistically detecting DDoS flood attacks, new features may appear as it is the case that new attacking tools are developing fast. For that reason, this paper studies abstract analysis of statistical detection of DDoS flood attacks, which provides a profile to represent detection probability as well as miss probability in general.
Source Title: Proceedings of the International Conference on Internet Computing
URI: http://scholarbank.nus.edu.sg/handle/10635/40141
Appears in Collections:Staff Publications

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