Recommender Algorithms for Adaptive Access Control Mechanism of Enterprise Cloud

Authors

  • Amardeep Kaur

Keywords:

Adaptive Access Control; Enterprise Cloud; Recommender Algorithm; Resource Utilisation; Role Based Access Control

Abstract

The purpose of this paper is to propose recommendations for defining access control policies for an enterprise cloud. These recommendations aim to introduce adaptability to changing requirements of enterprise users in access control mechanisms, with the goal of making a limited set of resources available to users of all roles who actually need them. The methodology involves developing recommender algorithms for redefining access control policies and improving resource utilization with the same set of resources. Implementation of the algorithms demonstrated a significant improvement in the availability of resources to desired users. The study's novelty lies in two aspects. First, it introduces dynamism in access control policies that are otherwise static in nature. Second, the access control policies help improve resource utilization with the same set of resources.

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Published

30.03.2023

How to Cite

Amardeep Kaur. (2023). Recommender Algorithms for Adaptive Access Control Mechanism of Enterprise Cloud. International Journal of Intelligent Systems and Applications in Engineering, 11(4s), 720 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/8324

Issue

Vol. 11 No. 4s (2023)

Section

Research Article

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