DocumentCode
626437
Title
VULCAN: Vulnerability Assessment Framework for Cloud Computing
Author
Kamongi, Patrick ; Kotikela, Srujan ; Kavi, Krishna ; Gomathisankaran, Mahadevan ; Singhal, Achintya
Author_Institution
Comput. Sci. & Eng., Univ. of North Texas, Denton, TX, USA
fYear
2013
fDate
18-20 June 2013
Firstpage
218
Lastpage
226
Abstract
Assessing security of software services on Cloud is complex because the security depends on the vulnerability of infrastructure, platform and the software services. In many systems, the platform or the infrastructure on which the software will actually run may not be known or guaranteed. This implies that the security of the software service must be assured regardless of the underlying infrastructure or platform, requiring a large number of combinations. Another common trend in Cloud and Service oriented Architecture (SoA) environments is Service composition, whereby new services can be created rapidly by composing existing services. Once again, the component services must be tested for security levels on a large number of platform and infrastructure combinations. In this paper we propose a novel vulnerability assessment framework for cloud computing systems. We have designed and developed a prototype of our framework. We also present the design and development of our framework with some use cases.
Keywords
cloud computing; security of data; service-oriented architecture; SoA environment; VULCAN framework; cloud computing; infrastructure vulnerability; platform vulnerability; security assessment; security level; service composition; service-oriented architecture; software service; software service vulnerability; vulnerability assessment framework; Cloud computing; Indexes; Knowledge based systems; Ontologies; Security; Cloud Computing; Ontology; Vulnerability Assessment;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Security and Reliability (SERE), 2013 IEEE 7th International Conference on
Conference_Location
Gaithersburg, MD
Print_ISBN
978-1-4799-0406-8
Type
conf
DOI
10.1109/SERE.2013.31
Filename
6571712
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