Rao, K. Rajesh and Nayak, Ashalatha and Ray, Indranil Ghosh and Rahulamathavan, Yogachandran and Rajarajan, Muttukrishnan (2021) Role recommender-RBAC: Optimizing user-role assignments in RBAC. Computer Communications, 166. pp. 140-153. ISSN 0140-3664
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Abstract
In a rapidly changing IT environment, access to the resources involved in various projects might change randomly based on the role-based access control (RBAC) system. Hence, the security administrator needsm to dynamically maintain the role assignments to users for optimizing user-role assignments. The manual updation of user-role assignments is prone to error and increases administrative workload. Therefore, a role recommendation model is introduced for the RBAC system to optimize user-role assignments based on user behaviour patterns. It is shown that the model automatically revokes and refurbishes the user-role assignments by observing user access behaviour. This model is used in the cloud for providing Role-Assignment-as-a-Service to optimize the cost of built-in roles. Several experiments are conducted to verify the proposed model using the Amazon access sample dataset. The experimental results show that the efficiency of the proposed model is 50% higher than the state-of-the-art.
Item Type: | Article |
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Uncontrolled Keywords: | Access control Cloud computing Hidden Markov model RBAC Role recommendation |
Subjects: | Engineering > MIT Manipal > Computer Science and Engineering Engineering > MIT Manipal > Information and Communication Technology |
Depositing User: | MIT Library |
Date Deposited: | 29 Oct 2021 06:33 |
Last Modified: | 29 Oct 2021 06:33 |
URI: | http://eprints.manipal.edu/id/eprint/157576 |
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