Downloads: 140 | Views: 291
Research Paper | Computers & Electrical Engineering | India | Volume 7 Issue 3, March 2018 | Popularity: 6.1 / 10
Enhancement of Cloud Security by Including Responsibility Components in RBAC
Nidhi Saxena
Abstract: Good corporate governance requires an improvement of the definition and the enforcement of the employees responsibility throughout the companies processes. In the field of information technology, one translation of this requirement targets a strict alignment of the access control policy with the permissions needed by the employees to achieve the obligations linked to their responsibilities. There has been much work related to access control over three decades and Role Based Access Control (RBAC) has emerged as a reference model in that discipline. Although its advantages have been largely recognized, when taking into account the new governance constraints, it appears that its mechanism of assignment of users permissions is improvable. In this paper, we propose enhancements of RBAC by taking into account the concept of responsibility and explain it can be modeled using the OWL Web Ontology Language.
Keywords: Role, Access Control, Policy, Responsibility, Commitment, Capability, Accountability, Separation of Duty
Edition: Volume 7 Issue 3, March 2018
Pages: 778 - 786
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 10 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Computers & Electrical Engineering, India, Volume 12 Issue 7, July 2023
Pages: 1599 - 1602Advancements in Gesture - Controlled Home Automation: Enhancing Safety and Convenience
Saurav Kumar
Downloads: 115 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Survey Paper, Computers & Electrical Engineering, India, Volume 8 Issue 12, December 2019
Pages: 837 - 839A Review on Predicting the Stages of Chronic Kidney Disease Using Machine Learning Techniques
Smitha Patil, Dr. Savitha Chowdhary
Downloads: 179
Research Paper, Computers & Electrical Engineering, Iraq, Volume 9 Issue 4, April 2020
Pages: 601 - 604COVID-19 Pandemic Detection in Chest X-ray Images by Deep Features with SVM Classifier
Bashar AL-SAFFAR, Nusaibah Khalid Abdulmajeed