Role Minimization As An Optimization Metric In Role Mining Algorithms : A Literature Review

A recent access control model that could accommodate a dynamic structure such as cloud computing can be recognized as role based access control and the role management process of this access control can be identified as role mining.The current trend in role based access control is the role mining p...

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Main Authors: Ahmad, Rabiah, Abd Hamid, Nazirah, Selamat, Siti Rahayu
Format: Article
Language:English
Published: Science Publishing Corporation 2018
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Online Access:http://eprints.utem.edu.my/id/eprint/23016/2/IJET-23386.pdf
http://eprints.utem.edu.my/id/eprint/23016/
https://www.sciencepubco.com/index.php/ijet/article/view/23386
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spelling my.utem.eprints.230162021-08-30T13:36:17Z http://eprints.utem.edu.my/id/eprint/23016/ Role Minimization As An Optimization Metric In Role Mining Algorithms : A Literature Review Ahmad, Rabiah Abd Hamid, Nazirah Selamat, Siti Rahayu Q Science (General) QA Mathematics A recent access control model that could accommodate a dynamic structure such as cloud computing can be recognized as role based access control and the role management process of this access control can be identified as role mining.The current trend in role based access control is the role mining problem that can be described as the difficulty to uncover an optimum set of roles from the userpermission assignment.To solve this problem,the researchers have proposed role mining algorithms to produce role set and among the existing algorithms there is an intrinsic topic of the common perception to evaluate the goodness of the generated role set.Eventually,the value of the identified roles could be measured by the preferred metric of optimality namely the number of roles,sizes of userassignment and permission-assignment and Weighted Structural Complexity.Until now, there is some disagreement on the optimization metric but notably many researchers have agreed on the minimization of the number of roles as a solid metric.This paper discusses an overview of the current state-of-the-art on the recent role mining algorithms that focus on role minimization as an optimization metric to evaluate the goodness of the identified roles. Science Publishing Corporation 2018-12 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/23016/2/IJET-23386.pdf Ahmad, Rabiah and Abd Hamid, Nazirah and Selamat, Siti Rahayu (2018) Role Minimization As An Optimization Metric In Role Mining Algorithms : A Literature Review. International Journal Of Engineering & Technology, 7. 306-310 . ISSN 2227-524X https://www.sciencepubco.com/index.php/ijet/article/view/23386 DOI: 10.14419/ijet.v7i4.31.23386
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic Q Science (General)
QA Mathematics
spellingShingle Q Science (General)
QA Mathematics
Ahmad, Rabiah
Abd Hamid, Nazirah
Selamat, Siti Rahayu
Role Minimization As An Optimization Metric In Role Mining Algorithms : A Literature Review
description A recent access control model that could accommodate a dynamic structure such as cloud computing can be recognized as role based access control and the role management process of this access control can be identified as role mining.The current trend in role based access control is the role mining problem that can be described as the difficulty to uncover an optimum set of roles from the userpermission assignment.To solve this problem,the researchers have proposed role mining algorithms to produce role set and among the existing algorithms there is an intrinsic topic of the common perception to evaluate the goodness of the generated role set.Eventually,the value of the identified roles could be measured by the preferred metric of optimality namely the number of roles,sizes of userassignment and permission-assignment and Weighted Structural Complexity.Until now, there is some disagreement on the optimization metric but notably many researchers have agreed on the minimization of the number of roles as a solid metric.This paper discusses an overview of the current state-of-the-art on the recent role mining algorithms that focus on role minimization as an optimization metric to evaluate the goodness of the identified roles.
format Article
author Ahmad, Rabiah
Abd Hamid, Nazirah
Selamat, Siti Rahayu
author_facet Ahmad, Rabiah
Abd Hamid, Nazirah
Selamat, Siti Rahayu
author_sort Ahmad, Rabiah
title Role Minimization As An Optimization Metric In Role Mining Algorithms : A Literature Review
title_short Role Minimization As An Optimization Metric In Role Mining Algorithms : A Literature Review
title_full Role Minimization As An Optimization Metric In Role Mining Algorithms : A Literature Review
title_fullStr Role Minimization As An Optimization Metric In Role Mining Algorithms : A Literature Review
title_full_unstemmed Role Minimization As An Optimization Metric In Role Mining Algorithms : A Literature Review
title_sort role minimization as an optimization metric in role mining algorithms : a literature review
publisher Science Publishing Corporation
publishDate 2018
url http://eprints.utem.edu.my/id/eprint/23016/2/IJET-23386.pdf
http://eprints.utem.edu.my/id/eprint/23016/
https://www.sciencepubco.com/index.php/ijet/article/view/23386
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score 13.211869