Krishna, Sreeram (2025) Policy-Driven Identity and Access Management: Strengthening Compliance with Security Standards and Emerging Technologies. Masters thesis, Dublin, National College of Ireland.
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Abstract
As more organizations choose the cloud, secure user access is vital for stopping breaches, unauthorized access, and account hijacking. Most IAM systems of this kind are not dynamic and depend on roles, which makes it hard to detect all forms of suspicious behavior. This study presents the Graph Neural Network with Temporal Attention (GNNTA) model for noticing unusual behavior of users in cloud-based Identity and Access Management systems. Data from the CLUE-LDS, which covers real user activity for five years, are used by the model to form a graph that reflects user behavior and gives more importance to unusual activity over the recent period. Synthetic examples of hijacking and similar risks are added to the data to test the model’s ability to notice such troublesome actions. The approach makes it possible for IAM to spot threats as they emerge by combining adaptation and policy-based actions. The findings are used to develop cloud security systems that are aware of privacy needs and match the latest security regulations.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Pantridge, Michael UNSPECIFIED |
| Uncontrolled Keywords: | Mobile device security; Malware; Data theft; MAM; Endpoint security; SIEM |
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security |
| Divisions: | School of Computing > Master of Science in Cyber Security |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 15 Jun 2026 14:31 |
| Last Modified: | 15 Jun 2026 14:31 |
| URI: | https://norma.ncirl.ie/id/eprint/9358 |
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