DocumentCode :
717121
Title :
A collaborative approach for a source based detection of botclouds
Author :
Badis, Hammi ; Doyen, Guillaume ; Khatoun, Rida
Author_Institution :
Autonomous Network Environ. Team, Troyes Univ. of Technol., Troyes, France
fYear :
2015
fDate :
11-15 May 2015
Firstpage :
906
Lastpage :
909
Abstract :
Since the last years, cloud computing is playing an important role in providing high quality of IT services. However, beyond a legitimate usage, the numerous advantages it presents are now exploited by attackers, and botnets supporting DDoS attacks are among the greatest beneficiaries of this malicious use. In this paper, we present an original approach that enables a collaborative egress detection of DDoS attacks leveraged by a botcloud. We provide an early evaluation of our approach using simulations that rely on real workload traces, showing our detection system effectiveness and low overhead, as well as its support for incremental deployment in real cloud infrastructures.
Keywords :
cloud computing; computer network security; groupware; software agents; DDoS attacks; IT services; botclouds; botnets; cloud computing; cloud infrastructures; collaborative approach; collaborative egress detection; incremental deployment; source based detection; workload traces; Biomedical monitoring; Cloud computing; Collaboration; Computer crime; Monitoring; Peer-to-peer computing; Principal component analysis;
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.2015.7140406
Filename :
7140406
Link To Document :
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