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Peer Reviewed Article

Vol. 6 (2019)

Role-Based Access Control in SAS Programming: Enhancing Security and Authorization

Published
28-03-2019

Abstract

To improve security and authorization protocols, this study investigates the application of Role-Based Access Control (RBAC) in SAS (Statistical Analysis System) programming environments. Determining roles, allocating permissions, enforcing access controls, and assessing the effect of RBAC on security were the study's primary goals. The literature that has already been written, case studies, and best practices around RBAC deployment in SAS systems were examined using a secondary data-based review methodology. The main conclusions emphasize how well RBAC works to increase control granularity, streamline administrative duties, facilitate scalability, bolster auditability and compliance, and bolster overall security postures. Nonetheless, restrictions were noted, highlighting the necessity of precise guidelines and continuous audits. These included role complexity and administrative burden. The significance of creating precise role-based policies and carrying out frequent audits to maximize RBAC effectiveness are among the policy implications. This study emphasizes that RBAC is essential to contemporary data analytics workflows, supporting safe and adequate access control methods in SAS programming environments that comply with legal requirements and organizational goals.

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