דילוג לתוכן

Zero-Trust Architecture for a University Research Cloud

Distributed academic computing environments require rigorous validation models to protect sensitive scientific datasets against lateral movement and unauthorized access. Transitioning from perimeter-based firewalls to continuous identity verification, granular micro-segmentation, and dynamic policy enforcement establishes verifiable research infrastructure integrity. Integrating contextual telemetry and least-privilege protocols mitigates persistent cloud vulnerabilities while maintaining collaborative academic accessibility.

מטרת העבודה

To design an applied Zero-Trust security architecture blueprint that secures academic cloud resources and research data through continuous identity verification and micro-segmentation.

תוכנית יישום

  • 1.Analyze vulnerability vectors and threat scenarios in shared university cloud workloads.
  • 2.Define control mechanisms for identity access management, micro-segmentation, and dynamic verification.
  • 3.Evaluate architectural resilience against lateral intrusion and credential abuse.

תצוגה מקדימה של המסמך

זוהי תצוגה מקדימה קצרה. הגרסה המלאה תרחיב את הטקסט ותדייק את המבנה לפי תקן המסמך שנבחר.

Course Project

Degree:
Zero-Trust Architecture for a University Research Cloud

Author:

Group

First M. Last

Advisor:

Dr. First Last

City, 2026

Contents

1. Academic Cloud Governance Context and Security Baseline
1.1. Research Workload Characteristics and Vulnerability Mapping
1.2. Trust Boundaries in Multi-Tenant Academic Environments
2. Zero-Trust Control Implementation and Access Enforcement
2.1. Identity-Centric Access Management and Continuous Verification
2.2. Granular Micro-Segmentation for Distributed Compute Clusters
Analysis
3.1. Containment of Lateral Movement and Credential Compromise
3.2. Latency, Computational Overhead, and Usability Metrics
4. Operational Recommendations and Deployment Roadmap
4.1. Phased Migration Protocols for Shared Research Infrastructure
Introduction
Conclusion
Bibliography

Introduction

Modern higher education institutions increasingly rely on distributed research clouds to host computationally intensive simulations and sensitive scientific data, exposing complex platforms to advanced persistent threats and nation-state adversaries [2], [5]. Traditional perimeter-based security architectures fail to safeguard these dynamic environments, as compromised credentials grant adversaries unrestricted internal reach and enable lateral movement across shared research clusters [4], [5].

The primary operational challenge within academic cyberinfrastructure involves reconciling open scientific collaboration with rigorous regulatory compliance and data governance [3]. Applying the core Zero-Trust tenet of continuous verification eliminates implicit trust assumptions by integrating robust identity and access management, software-defined micro-segmentation, and dynamic risk-based policy enforcement across all containerized workloads, user endpoints, and storage repositories [2], [4].

This project formulates an applied architectural blueprint designed to transition university cloud environments into resilient Zero-Trust ecosystems. By analyzing technical enforcement controls, containment metrics, and operational overheads, the deliverable provides institutional engineering teams with a structured methodology for safeguarding critical research assets against sophisticated exploitation while maintaining seamless multi-institutional research accessibility [3], [5].

4.1. Phased Migration Protocols for Shared Research Infrastructure

Deploying a zero-trust architecture within a university research cloud requires a phased migration protocol to balance strict data isolation policies with multi-tenant academic collaboration. Rather than executing an immediate, monolithic transition across all computing resources, administrators must adopt a tiered enforcement model that evaluates workloads according to data confidentiality, computational interdependence, and user mobility criteria (Mishra, 2025). The primary criterion for phase allocation rests on the operational sensitivity of research assets, separating publicly accessible institutional repositories from highly regulated scientific datasets and high-performance computing clusters (Deshmukh, 2024). Under this practical framework, implementation begins with non-blocking telemetry collection, allowing central policy engines to map dynamic communication flows without interrupting active scientific pipelines (Mishra, 2025). Once identity-centric boundaries and contextual access policies are verified against baseline network telemetry, micro-segmentation controls are incrementally activated across virtualized nodes and containerized environments (Garba, 2020). By establishing explicit software-defined perimeters and continuous re-authentication gates prior to deprecating legacy network pathways, university infrastructure teams maintain uninterrupted inter-institutional data exchange while systematically eliminating implicit subnet trust (Deshmukh, 2024; Garba, 2020). This structured deployment ensures that access enforcement adapts dynamically to diverse research workloads without introducing operational latency or access barriers to collaborative academic computation.

References

  1. Zero-trust architecture reinforced by artificial intelligence in cloud computing
    Saadat Ibiyeye, Temitope Dickson Olajide, Osondu Onwuegbuchi et al.
    קישור DOI
  2. Zero-Trust Security Architecture for Hybrid Cloud Deployments
    Venkatesh Muniyandi
    קישור DOI
  3. Zero Trust Security Architecture (ZTSA)
    Ravi Teja Avireneni, Sri Harsha Koner
    קישור DOI
  4. Zero Trust Architecture in Cloud Computing: A Paradigm Shift in Platform Engineering Security
    Hari Yerramsetty -
  5. Zero Trust Architecture Effectiveness Against State-Sponsored Cloud Attacks
    Lee Cheng
  6. Zero Trust Architecture in Hybrid Cloud: Theory and Implementation
    Sandeep Parshuram Patil

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