Adaptive Access Control using Artificial Intelligence in Cloud Identity Management Systems for Enhancing Security and Compliance

To study the current challenges in access control within cloud identity management systems in educational institutions.

To explore the potential benefits of implementing artificial intelligence techniques for adaptive access control.

To design and implement a prototype system that demonstrates the use of AI in enhancing security and compliance in educational environments.

To evaluate the effectiveness of the proposed system in improving access control mechanisms and ensuring regulatory compliance in the education sector.

Conduct a literature review on access control, artificial intelligence, cloud identity management systems, and their applications in the education sector.

Analyze the existing access control mechanisms in educational institutions and identify limitations and areas for improvement.

Design a framework for integrating AI-based adaptive access control in cloud identity management systems.

Implement a prototype system using selected AI algorithms for access control in educational environments.

Evaluate the performance of the prototype system in terms of security, compliance, and user experience.

Write a report documenting the research findings, system design, implementation details, and evaluation results.