DocumentCode :
2967773
Title :
An intrusion detection framework for supporting SLA assessment in Cloud Computing
Author :
Ficco, Massimo ; Rak, Massimiliano ; Di Martino, Beniamino
Author_Institution :
Dipt. di Ing. Ind. e dell´Inf., Second Univ. of Naples (SUN), Aversa, Italy
fYear :
2012
fDate :
21-23 Nov. 2012
Firstpage :
244
Lastpage :
249
Abstract :
Cloud Computing is the emerging paradigm in distributed environment. It is an opportunity for users to reduce costs and increase efficiency. Cloud Computing represents both a technology for using computing infrastructures in a more efficient way, and a business model for selling computing services and resources. In this context, cyber attacks represent a serious danger, which can compromise the quality of service delivered to the customers. In this paper, a mOSAIC-based framework for providing distributed intrusion detection in Cloud Computing is proposed. It is an architectural framework that collects information at different Cloud architectural levels, using multiple distributed security components, which can be used to perform complex event correlation analysis to identify intrusions in the Cloud system that involve Service Level Agreement violations.
Keywords :
cloud computing; distributed processing; security of data; SLA assessment; business model; cloud architectural level; cloud computing; complex event correlation analysis; cyber attack; distributed environment; distributed intrusion detection; mOSAIC-based framework; multiple distributed security component; service level agreement; service quality; Cloud computing; Engines; Intrusion detection; Monitoring; Quality of service; Cloud Computing; SLA; complex event processing; security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2012 Fourth International Conference on
Conference_Location :
Sao Carlos
Print_ISBN :
978-1-4673-4793-8
Type :
conf
DOI :
10.1109/CASoN.2012.6412410
Filename :
6412410
Link To Document :
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