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A formal approach to the role mining problem

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TypeOfResource
Text
TitleInfo (ID = T-1)
Title
A formal approach to the role mining problem
Identifier
ETD_2938
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10002600001.ETD.000056099
Language
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Management
Subject (ID = SBJ-2); (authority = ETD-LCSH)
Topic
Computer networks--Security measures
Subject (ID = SBJ-3); (authority = ETD-LCSH)
Topic
Information technology--Security measures
Abstract
Role-based access control (RBAC) has become the norm for enforcing security since it has been successfully implemented in various commercial systems. Roles, which are nothing but sets of permissions when semantics are unavailable, represent organizational agents that perform certain job functions within the organization. Role engineering, the process of defining a set of roles and associate permissions to them, is essential before all the benefits of RBAC can be realized. There are two basic approaches towards role engineering: top-down and bottom-up. The key problem with the top-down approach is that it is likely to ignore the existing permissions. In addition, the top-down approach calls for a good understanding among various authorities from different disciplines, which makes role engineering tedious, time consuming and very difficult to implement. In contrast, the bottom-up approach automates the role engineering process especially when business semantics are not available. Also, it starts from the existing permissions and aggregates them into roles. Therefore, role engineering by the bottom-up approach is also referred to as role mining. A number of approaches exist for role mining and majority of them employ clustering techniques or their variants to discover roles. An inherent problem with these approaches is that there is no formal notion of goodness/ interestingness of a role. They present heuristic ways to find a set of candidate roles. While offering justifications for the identified roles, there is no integrative view of the entire set of roles. For insightful bottom-up analysis, we need to define interestingness metrics for roles. The objective of this dissertation research is to formally define a list of role mining problems and find the solutions to solve them.
PhysicalDescription
Form (authority = gmd)
electronic resource
Extent
xii, 203 p. : ill.
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application/pdf
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text/xml
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by Qi Guo
Name (ID = NAME-1); (type = personal)
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Guo
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Qi
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1970-
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qi guo
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Atluri
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Vijay
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chair
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Advisory Committee
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Vijay Atluri
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Adam
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Nabil
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internal member
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Advisory Committee
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Nabil Adam
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Jaideep Vaidya
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Jaideep
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internal member
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Advisory Committee
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Jaideep Jaideep Vaidya
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Ahn
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Gail-Joon
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outside member
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Advisory Committee
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Gail-Joon Ahn
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NamePart
Rutgers University
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degree grantor
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Graduate School - Newark
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school
OriginInfo
DateCreated (qualifier = exact)
2010
DateOther (qualifier = exact); (type = degree)
2010-10
Place
PlaceTerm (type = code)
xx
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
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TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
Identifier (type = local)
rucore10002600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T34749NH
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder (ID = PRH-1); (type = personal)
Name
FamilyName
guo
GivenName
qi
Role
Copyright Holder
RightsEvent (ID = RE-1); (AUTHORITY = rulib)
Type
Permission or license
DateTime
2010-09-29 02:07:22
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Role
Copyright holder
Name
qi guo
Affiliation
Rutgers University. Graduate School - Newark
AssociatedObject (ID = AO-1); (AUTHORITY = rulib)
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Technical

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ETD
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application/pdf
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application/x-tar
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1269760
Checksum (METHOD = SHA1)
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