DocumentCode :
3036870
Title :
Detecting denial of service attacks using emergent self-organizing maps
Author :
Mitrokotsa, Aikaterini ; Douligeris, Christos
Author_Institution :
Dept. of Inf., Piraeus Univ.
fYear :
2005
fDate :
21-21 Dec. 2005
Firstpage :
375
Lastpage :
380
Abstract :
Denial of service attacks constitute one of the greatest problem in network security. Monitoring traffic is one of the main techniques used in order to find out the existence of possible outliers in the traffic patterns. In this paper, we propose an approach that detects denial of service attacks using emergent self-organizing maps. The approach is based on classifying "normal" traffic against "abnormal" traffic in the sense of denial of service attacks. The approach permits the automatic classification of events that are contained in logs and visualization of network traffic. Extensive simulations show the effectiveness of this approach compared to previously proposed approaches regarding false alarms and detection probabilities
Keywords :
computer networks; monitoring; security of data; self-organising feature maps; telecommunication security; telecommunication traffic; denial of service attacks; emergent self-organizing maps; network security; traffic monitoring; Computer crime; Computer networks; Informatics; Intrusion detection; Monitoring; Neural networks; Self organizing feature maps; Telecommunication traffic; Traffic control; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology, 2005. Proceedings of the Fifth IEEE International Symposium on
Conference_Location :
Athens
Print_ISBN :
0-7803-9313-9
Type :
conf
DOI :
10.1109/ISSPIT.2005.1577126
Filename :
1577126
Link To Document :
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