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
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/98249/1/AbdulRaufPSC2019.pdf
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id	my-utm-ep.98249
record_format	uketd_dc
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
_version_	1776100565971894272

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

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