Semantic analysis of role mining results and shadowed roles detection

Hachana, Safaa; Cuppens, Frédéric; Cuppens-Boulahia, Nora; García-Alfaro, Joaquín

doi:10.1016/j.istr.2013.03.001

Cited by 5 publications

(3 citation statements)

References 33 publications

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“…Li et al [43] proposed a role mining method based on fermat transformation theory and set theory for the problem of external behavior invariance and evolve-ability of legacy systems. Hachana et al [44] studied the comparison methods among different role sets, which effectively guided security administrators to select the role set. The method can detect the misconfigured roles through the comparison.…”

Section: Related Workmentioning

confidence: 99%

Access Control Role Evolution Mechanism for Open Computing Environment

Liu

Wang

2020

Electronics

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Data resources in open computing environments (including big data, internet of things and cloud computing) are characterized by large scale, wide source, and strong dynamics. Therefore, the user-permission relationship of open computing environments has a huge scale and will be dynamically adjusted over time, which enables effective permission management in the role based access control (RBAC) model to become a challenging problem. In this paper, we design an evolution mechanism of access control roles for open computing environments. The mechanism utilizes the existing user-permission relationship in the current system to mine the access control role and generate the user-role and role-permission relationship. When the user-permission relationship changes, the roles are constantly tuned and evolved to provide role support for access control of open computing environments. We propose a novel genetic-based role evolution algorithm that can effectively mine and optimize roles while preserving the core permissions of the system. In addition, a role relationship aggregation algorithm is proposed to realize the clustering of roles, which provides a supplementary reference for the security administrator to give the role real semantic information. Experimental evaluations in real-world data sets show that the proposed mechanism is effective and reliable.

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Section: Related Workmentioning

confidence: 99%

Access Control Role Evolution Mechanism for Open Computing Environment

Liu

Wang

2020

Electronics

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“…RBAC has become a dominating model for access control in network security. Instead of assigning permissions to the user directly, RBAC introduces the concept of roles to make access control system more compact and comprehensive [6]. A role is defined as a collection of permissions.…”

Section: Related Workmentioning

confidence: 99%

RMMDI: A Novel Framework for Role Mining Based on the Multi-Domain Information

Bai

Pan

Guo

et al. 2019

Security and Communication Networks

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Role-based access control (RBAC) is widely adopted in network security management, and role mining technology has been extensively used to automatically generate user roles from datasets in a bottom-up way. However, almost all role mining methods discover the user roles from existing user-permission assignments, which neglect the dependency relationships between user permissions. To extend the ability of role mining technology, this paper proposes a novel role mining framework based on multi-domain information. The framework estimates the similarity between different permissions based on the fundamental information in the physical, network, and digital domains and attaches interdependent permissions to the same role. Three simulated network scenarios with different multi-domain configurations are used to validate the effectiveness of our method. The experimental results show that the method can not only capture the interdependent relationships between permissions, but also detect user roles and permissions more reasonably.

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“…According to the module name, the aim of semantic analysis is to find the keywords from a sentence. In order to realize it, a method based on assemble is utilized [6], refer to figure 2.…”

Section: Ossystem('arecord -D 3 -F CD -R 16000 Commandwav') Ossystem(...mentioning

confidence: 99%

Speech Control System for Robot Based on Raspberry Pi

2013

AMR

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Raspberry Pi is a credit card sized Linux computer based on ARM11 architecture. Because of its small size, low power consumption and powerful performance, a robot controller is a suitable role for it to play. As a robot with artificial intelligence, speech recognition for controlling the robot and voice feedback to users is key parts of the entire system. In this essay, a robot called Lisa is assembled, and a speech control and interactive system is implemented based on Google voice API which is a voice recognition engine provided as a cloud service. In order to analysis complex voice commands, a semantic method is developed to catch key words from command sentences. Then try to make a pattern match between key words and instruction set build-in the robot control system. The speech recognition control and interactive system is effective and well behaved after experimental verification.

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Semantic analysis of role mining results and shadowed roles detection

Cited by 5 publications

References 33 publications

Access Control Role Evolution Mechanism for Open Computing Environment

Access Control Role Evolution Mechanism for Open Computing Environment

RMMDI: A Novel Framework for Role Mining Based on the Multi-Domain Information

Speech Control System for Robot Based on Raspberry Pi

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