Optimizing Trust Score Algorithms in Zero Trust IAM Systems for Multi-Cloud and Hybrid Cloud Environments

Sardare, Urvashi Kamlesh (2025) Optimizing Trust Score Algorithms in Zero Trust IAM Systems for Multi-Cloud and Hybrid Cloud Environments. Masters thesis, Dublin, National College of Ireland.

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Abstract

The shift to multi-cloud architectures challenges traditional Identity and Access Management (IAM) by dissolving the network perimeter. This research addresses this through a Zero Trust Architecture (ZTA), implementing a dynamic trust score for consistent IAM in complex AWS and GCP environments. This paper details a practical system leveraging a real-time trust score calculated from contextual signals—including multi-factor authentication (MFA) status, location, and crucial threat intelligence from AWS GuardDuty and GCP Security Command Center. Parallel, cloud-native trust engines were developed using serverless components on both platforms. Evaluation via controlled case studies confirmed the system’s efficacy, demonstrating dynamic responses to user context and a critical, security-first reaction to simulated threat alerts. The key finding is that a consistent Zero Trust policy is highly effective across disparate clouds when mapped to native services, providing a tangible blueprint for enhancing multi-cloud security.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Emani, Sai UNSPECIFIED
Subjects:	T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Algebra > Algorithms > Computer algorithms Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	30 Mar 2026 14:06
Last Modified:	30 Mar 2026 14:06
URI:	https://norma.ncirl.ie/id/eprint/9257

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