DocumentCode :
3252731
Title :
On the application of anomaly detection in Reliable Server Pooling systems for improved robustness against denial of service attacks
Author :
Schöttle, Pascal ; Dreibholz, Thomas ; Rathgeb, Erwin P.
Author_Institution :
Inst. for Exp. Math., Univ. of Duisburg-Essen, Essen
fYear :
2008
fDate :
14-17 Oct. 2008
Firstpage :
207
Lastpage :
214
Abstract :
The Reliable Server Pooling (RSerPool) architecture is the IETFpsilas upcoming standard of a lightweight server redundancy and session failover framework for availability-critical applications. RSerPool combines the ideas from different research areas into a single, resource-efficient and unified architecture. Although there have already been a number of research papers on the pool management, load distribution and failover handling performance of RSerPool, the robustness against intentional attacks has not been intensively addressed yet. Therefore, the first goal of this paper is to provide a robustness analysis in order to outline the attack bandwidth necessary for a significant impact on RSerPool-based services. After that, we present our anomaly detection approach that has been designed to protect RSerPool systems against attacks. We also show the effectiveness of this approach by simulations.
Keywords :
network servers; telecommunication network reliability; telecommunication security; anomaly detection; availability critical applications; denial of service attacks; failover handling; lightweight server redundancy; load distribution; pool management; reliable server pooling systems; session failover framework; Availability; Computer crime; Floods; Load management; Mathematics; Performance analysis; Protection; Robustness; Round robin; Transport protocols; Anomaly Detection; Attacks; Denial of Service; Reliable Server Pooling; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Local Computer Networks, 2008. LCN 2008. 33rd IEEE Conference on
Conference_Location :
Montreal, Que
Print_ISBN :
978-1-4244-2412-2
Electronic_ISBN :
978-1-4244-2413-9
Type :
conf
DOI :
10.1109/LCN.2008.4664171
Filename :
4664171
Link To Document :
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