Role mining based on cardinality constraints

Li, Ruixuan; Li, Huaqing; Gu, Xiwu; Li, Yuhua; Ye, Wei; Ma, Xiuquan

doi:10.1002/cpe.3456

Cited by 8 publications

(7 citation statements)

References 26 publications

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“…Last but not the least, a role mining approach to automatically find roles among user‐permission assignments has been introduced in Role Mining Based on Cardinality Constraints. This paper has presented a role mining algorithm with cardinality constraints . The experimental results demonstrated the rationality and effectiveness of the proposed algorithm.…”

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confidence: 85%

Frontier technologies of trust computing and network security

Xiang

Al-Dubi

Liu

et al. 2015

Concurrency and Computation

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EDITORIAL Frontier technologies of trust computing and network securityThe increasing complexity of computer systems and communication networks induces tremendous requirements for trust and security. This special issue includes topics on trusted computing, risk and reputation management, network security and survivable computer systems/networks. These issues have evolved into an active and important area of research and development. The past decade has witnessed a proliferation of concurrency and computation systems for practice of highly trust, security and privacy, which has become a key subject in determining future research and development activities in many academic and industrial branches. This special issue aims to present and discuss advances of current research and development in all aspects of trusted computing and network security. In addition, this special issue provides snapshots of contemporary academia work in the field of network trusted computing. We prepared and organized this special issue to record state-of-theart research, novel development and trends for future insight in this domain. In this special issue, 14 papers have been accepted for publication, which demonstrate novel and original work in this field. A detailed overview of the selected works is given below.

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confidence: 85%

Frontier technologies of trust computing and network security

Xiang

Al-Dubi

Liu

et al. 2015

Concurrency and Computation

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“…In this way, we ensure that all permissions represented by candidateRole have been assigned to at most t − 1 roles, satisfying in this way the PDCC constraint. If all permissions in uncP erms have been already assigned to at least t − 1 roles (equivalently, see line 19, candidateRole is empty), then we form a role consisting of a unique permission randomly chosen in uncP erms and increment by one the number of roles it has been assigned to (see lines [19][20][21][22][23]. Notice that any permission will never be assigned by pickRole-PDCC 1 to more than t roles; indeed permission p j is assigned to a role either in line 13 or in line 21.…”

Section: Pdcc Heuristicsmentioning

confidence: 99%

“…The heuristic selects only permission vertices covering the highest number of possible uncovered incident edges, respecting at each iteration the permissiondistribution cardinality constraint. Li et al [21] also proposed a heuristic considering PDCC constraints. Their approach is based on the graph optimization theory described by Zhang et al in [36].…”

Section: Pdcc Heuristicsmentioning

confidence: 99%

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Managing Constraints in Role Based Access Control

2020

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Role-based access control (RBAC) is the most popular access control model currently adopted in several contexts to define security management. Constraints play a crucial role since they can drive the selection of the best representation of the organization's security policies when migrating towards an RBAC system. In this paper, we examine different types of constraints addressing both theoretical aspects and practical considerations. On one side, we define the constrained role mining problem for each constraint type, showing its complexity. On the other hand, we present efficient heuristics adapted to each class of constraints, all derived from the specialization of a general approach for role mining. We show that our techniques improve over previous proposals, offering a complete set of experimentations obtained after the application of the heuristics to standard real-world datasets.

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“…According to Ye et al [4], RBAC system could be implemented through two approaches specifically the top-down and the bottom-up method. The authors have explained that the top-down approach builds a RBAC system with the involvement of experts' analysis on the business processes yet, this approach consumes a lot of time because of human participation [7]. The bottom-up approach, according to Hu et al [8] can uncover roles from the existing user-permission assignments (UPA) automatically that is known as role mining and because of its nature that based on computing-intensive approach, it is widely applied to build a RBAC model.…”

Section: Literature Reviewmentioning

confidence: 99%

A Conceptual Model of Role Based Access Control Using Role Mining Algorithm

Hamid¹,

Ahmad²,

Selamat³

2018

IJEECS

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Numerous studies have shown that currently, role-based access control has becoming one of the successful access control model because of its principle that could simplifies the work of security administrators. However, to construct a concise, role-based access control system, a good role mining algorithm structure is needed therefore the objectives of this paper are firstly, to provide a general overview on phases that involved in designing and developing the algorithm and secondly, to introduce a conceptual model that constructed based on the analysis and this model represents a general process in role mining model. This model involved series of phases that begin with the input of data, pre-processing stage, candidate role generation phase, role selection and role assignment process and lastly number of roles as generated output.

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Role mining based on cardinality constraints

Cited by 8 publications

References 26 publications

Frontier technologies of trust computing and network security

Frontier technologies of trust computing and network security

Managing Constraints in Role Based Access Control

A Conceptual Model of Role Based Access Control Using Role Mining Algorithm

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