Please use this identifier to cite or link to this item:
|Title:||Abstract analysis of detection probability for statistically detecting DDoS attacks||Authors:||Li, M.
|Issue Date:||2003||Citation:||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|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 19, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.