Trusted reasoning-role-based access control for cloud computing environment

Cloud computing has become the new standard in the fast-growing industry of information technology. This poses new challenges to the existing access control models, as the new computing paradigm is highly-distributed and multi-tenancy. The existing access control models are not strong enough due to...

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Main Author: Abdul Rauf, Abdul Rauf
Format: Thesis
Language:English
Published: 2019
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Online Access:http://eprints.utm.my/id/eprint/98249/1/AbdulRaufPSC2019.pdf
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spelling my-utm-ep.982492022-11-23T08:20:00Z Trusted reasoning-role-based access control for cloud computing environment 2019 Abdul Rauf, Abdul Rauf QA75 Electronic computers. Computer science Cloud computing has become the new standard in the fast-growing industry of information technology. This poses new challenges to the existing access control models, as the new computing paradigm is highly-distributed and multi-tenancy. The existing access control models are not strong enough due to unavailability of strong multiple relationships between user and resources. In addition, monitoring activities of users to protect the cloud resources is weak. In these contexts, malicious user must be identified for the protection of sensitive data and to limit the access of the user to the resources. This research developed an enhanced access control model for cloud computing, namely Trusted Reasoning-Role-Based Access Control for Cloud Computing Environment (TR2BAC) model. The model consists of four components. The first component is a dimensional domain for strong multiple relations between resources and user management, whereas the second component is reason-based access mechanism to limit users access based on defined reasoning principle. The third component is the trust module that identifies trusted/malicious users, and the fourth component ensures secure data access that classifies and labels the data according to the level of its sensitivity. The resources are then secured accordingly. Simulation results revealed that the performance of the proposed model improved in comparison to the existing state of the art techniques in terms of throughput by 25% and Permission Grants results by 35%. In terms of user authorization, the access time improved by 95% of the total access time which is about 7.5 seconds. In conclusion, this research has developed an enhanced access control model for cloud computing environment that can be used to protect the privacy of users as well as cloud resources from inside and outside attacks. 2019 Thesis http://eprints.utm.my/id/eprint/98249/ http://eprints.utm.my/id/eprint/98249/1/AbdulRaufPSC2019.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:141927 phd doctoral Universiti Teknologi Malaysia, Faculty of Engineering - School of Computing Faculty of Engineering - School of Computing
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic QA75 Electronic computers
Computer science
spellingShingle QA75 Electronic computers
Computer science
Abdul Rauf, Abdul Rauf
Trusted reasoning-role-based access control for cloud computing environment
description Cloud computing has become the new standard in the fast-growing industry of information technology. This poses new challenges to the existing access control models, as the new computing paradigm is highly-distributed and multi-tenancy. The existing access control models are not strong enough due to unavailability of strong multiple relationships between user and resources. In addition, monitoring activities of users to protect the cloud resources is weak. In these contexts, malicious user must be identified for the protection of sensitive data and to limit the access of the user to the resources. This research developed an enhanced access control model for cloud computing, namely Trusted Reasoning-Role-Based Access Control for Cloud Computing Environment (TR2BAC) model. The model consists of four components. The first component is a dimensional domain for strong multiple relations between resources and user management, whereas the second component is reason-based access mechanism to limit users access based on defined reasoning principle. The third component is the trust module that identifies trusted/malicious users, and the fourth component ensures secure data access that classifies and labels the data according to the level of its sensitivity. The resources are then secured accordingly. Simulation results revealed that the performance of the proposed model improved in comparison to the existing state of the art techniques in terms of throughput by 25% and Permission Grants results by 35%. In terms of user authorization, the access time improved by 95% of the total access time which is about 7.5 seconds. In conclusion, this research has developed an enhanced access control model for cloud computing environment that can be used to protect the privacy of users as well as cloud resources from inside and outside attacks.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Abdul Rauf, Abdul Rauf
author_facet Abdul Rauf, Abdul Rauf
author_sort Abdul Rauf, Abdul Rauf
title Trusted reasoning-role-based access control for cloud computing environment
title_short Trusted reasoning-role-based access control for cloud computing environment
title_full Trusted reasoning-role-based access control for cloud computing environment
title_fullStr Trusted reasoning-role-based access control for cloud computing environment
title_full_unstemmed Trusted reasoning-role-based access control for cloud computing environment
title_sort trusted reasoning-role-based access control for cloud computing environment
granting_institution Universiti Teknologi Malaysia, Faculty of Engineering - School of Computing
granting_department Faculty of Engineering - School of Computing
publishDate 2019
url http://eprints.utm.my/id/eprint/98249/1/AbdulRaufPSC2019.pdf
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