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Multi-Layered Policy Generation and Management in Clouds

dc.contributor.advisorYahyapour, Ramin Prof. Dr.
dc.contributor.authorFatemi Moghaddam, Faraz
dc.date.accessioned2018-01-25T10:36:35Z
dc.date.available2018-01-25T10:36:35Z
dc.date.issued2018-01-25
dc.identifier.urihttp://hdl.handle.net/11858/00-1735-0000-002E-E333-A
dc.identifier.urihttp://dx.doi.org/10.53846/goediss-6694
dc.language.isoengde
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc510de
dc.titleMulti-Layered Policy Generation and Management in Cloudsde
dc.typedoctoralThesisde
dc.contributor.refereeYahyapour, Ramin Prof. Dr.
dc.date.examination2017-12-12
dc.description.abstractengThe long awaited Cloud computing concept is a reality now due to the transformation of computer generations. However, security challenges are most important obstacles for the advancement of this emerging technology. A well-established policy framework is defined in this thesis to generate security policies which are compliant to requirements and capabilities. Moreover, a federated policy management schema is introduced based on the policy definition framework and multi-level policy application to create and manage virtual clusters with identical or common security levels. The proposed model consists in the design of a well-established ontology according to security mechanisms, a procedure which classifies nodes with common policies into virtual clusters, a policy engine to enhance the process of mapping requests to specific node as well as associated cluster and matchmaker engine to eliminate inessential mapping processes. The suggested model has been evaluated according to performance and security parameters to prove the efficiency and reliability of this multi-layered engine in cloud computing environments during policy definition, application and mapping procedures.de
dc.contributor.coRefereeReinhardt, Delphine Prof. Dr.
dc.subject.engCloud Computing+ Security+ Security Management+ Policy Management+ Access Control+ Policy Mapping+ Privacy+ Ontologyde
dc.identifier.urnurn:nbn:de:gbv:7-11858/00-1735-0000-002E-E333-A-8
dc.affiliation.instituteFakultät für Mathematik und Informatikde
dc.subject.gokfullInformatik (PPN619939052)de
dc.identifier.ppn1011608367


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