DocumentCode :
2961492
Title :
Investigating unique flow marking for tracing back DDoS attacks
Author :
Aghaei-Foroushani, Vahid ; Zincir-Heywood, A. Nur
Author_Institution :
Fac. of Comput. Sci., Dalhousie Univ., Halifax, NS, Canada
fYear :
2015
fDate :
11-15 May 2015
Firstpage :
762
Lastpage :
765
Abstract :
In this paper, we outline the recent efforts of our research in defense against Distributed Denial of Service (DDoS) attacks. In particular, we present a novel approach to IP traceback, namely Unique Flow Marking (UFM), and we evaluate UFM against other marking schemes. Our results show that the UFM can reduce the number of marked packets compared to the other marking schemes, while achieving a better performance in terms of its ability to trace back the attack.
Keywords :
computer network security; DDoS attack; IP traceback; UFM; distributed denial of service attack; unique flow marking schemes; Computer crime; Data mining; Encoding; IP networks; Internet; Memory management; Routing protocols; DDoS Attacks; Flow Based IP Traceback; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on
Conference_Location :
Ottawa, ON
Type :
conf
DOI :
10.1109/INM.2015.7140370
Filename :
7140370
Link To Document :
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