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A Practical Tutorial on Modified Condition/Decision Coverage
This tutorial provides a practical approach to assessing modified condition/decision coverage (MC/DC) for aviation software products that must comply with regulatory guidance for DO-178B level AExpand
Role Mining under Role-Usage Cardinality Constraint
TLDR
This paper proposes two alternative approaches for role mining with an upper bound on the number of roles that can be assigned to each user, and validate their performance with benchmark data sets. Expand
Meeting Cardinality Constraints in Role Mining
TLDR
It is shown that the constrained role mining problem is NP-Complete and heuristic solutions are presented and both methods are evaluated over a number of real-world data sets. Expand
Attribute‐based access control management for multicloud collaboration
TLDR
This work proposes 2 approaches for intercloud rule formation in ABAC, and shows the advantage of developing deny rules along with positive authorizations in reducing the total number of rules, and hence, the response time for evaluating access requests. Expand
Authorization Management in Multi-cloud Collaboration Using Attribute-Based Access Control
TLDR
Cross-domain rule mining is formally defined as the problem of finding a minimal set of ABAC rules that allow access to the resources of one cloud by the users of another cloud and the problem is shown to be NP-Hard and a heuristic algorithm is proposed to solve it. Expand
Optimal Rule Mining for Dynamic Authorization Management in Collaborating Clouds Using Attribute-Based Access Control
TLDR
This work study the problem of formulation of an optimal set of ABAC rules for granting inter-cloud accesses in a dynamic environment, the problem being NP-Hard, and proposes heuristic solutions. Expand
2 Role Mining with Role-Usage Cardinality Constraints
TLDR
This paper proposes two alternative approaches for role mining with an upper bound on the number of roles that can be assigned to each user, and validate their performance with benchmark data sets. Expand