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Measuring Zero-Trust Maturity in Port-Logistics IT

Zero-Trust maturity measurement within port-logistics IT requires evaluating continuous identity verification, network segmentation, and automated policy enforcement across converged operational and information platforms. Structural synthesis of cybersecurity models demonstrates that legacy infrastructure and multi-stakeholder workflows remain significant impediments to achieving complete least-privilege governance in terminal operations. Establishing standardized maturity indices provides maritime organizations with the operational criteria needed to mitigate systemic supply chain risks effectively.

Doel van het werk

Examine how Zero-Trust maturity can be measured across integrated port-logistics IT and operational technology environments.

Methodologie

Comparative qualitative synthesis of international cybersecurity frameworks and published peer-reviewed structural models of port IT-OT architectures.

Wetenschappelijke nieuwheid

Synthesizes Zero-Trust security principles with maritime logistical operational models to establish specific criteria for maturity benchmarking.

Voorvertoning document

Dit is een beknopte voorvertoning. De volledige versie bevat uitgebreide tekst voor alle secties, een conclusie en een geformatteerde bibliografie.

Master's Thesis

Degree:
Measuring Zero-Trust Maturity in Port-Logistics IT

Author:

Group

First M. Last

Advisor:

Dr. First Last

City, 2026

Contents

Introduction
1 Theoretical Foundations of Zero-Trust Architecture in Maritime Logistics
1.1 Architectural Paradigms: Transitioning from Perimeter Defence to Continuous Verification
1.2 Interconnected IT-OT Ecosystems and Cyber Vulnerabilities in Modern Terminals
2 Methodological Approaches for Maturity Measurement in Port Environments
2.2 Systematic Review Protocols for Evaluating Critical Port Infrastructure Systems
2.3 Analytical Scoring and Metric Standardization for Multi-Tier Port Networks
3 Empirical and Architectural Analysis of Zero-Trust Implementation
3.1 Evaluating Threat Exposure and Attack Surfaces in Digital Freight Platforms
3.2 Identity Governance and Microsegmentation Across Port Operational Systems
3.3 Structural Gaps in Automated Policy Enforcement and Real-Time Verification
4 Critical Discussion and Governance Implications for Maritime IT
4.1 Operational Bottlenecks and Legacy System Incompatibilities in Port Hubs
4.2 Policy Alignment and Multi-Stakeholder Resilience in Port-Hinterland Corridors
Conclusion
Bibliography

Introduction

The rapid digitization of global supply chains has positioned port-logistics networks as vital yet highly susceptible nodes within critical economic infrastructure. Modern maritime terminals increasingly rely on hyper-connected systems spanning automated container handling, cloud-based terminal operating systems, and integrated freight tracking to manage complex trade volumes [2]. However, the proliferation of digital integration concurrently expands the cyber-attack surface, exposing vulnerable Operational Technology (OT) and Information Technology (IT) interfaces to sophisticated intrusions and systemic disruptions across the entire maritime logistics corridor [5].

Traditional perimeter-centric security paradigms are structurally inadequate for protecting complex maritime logistics environments that demand continuous data exchange among disparate shipping lines, port authorities, and hinterland operators [3]. In response, Zero-Trust Architecture has emerged as a rigorous standard founded on the principle of continuous mutual verification and least-privilege access. Despite its recognized efficacy in standard enterprise environments, the lack of standardized maturity assessment metrics specifically tailored to the unique operational constraints and legacy infrastructure of port-logistics networks leaves critical gaps in institutional defense [1].

This paper evaluates existing cybersecurity capability frameworks to construct a structured analytical lens for measuring Zero-Trust maturity in port-logistics IT infrastructure. By utilizing secondary synthesis and structural comparison across established security standards and port operational models, this study establishes clear multi-tiered criteria for evaluating identity verification, network segmentation, and threat modeling [5]. The resulting analysis provides maritime operators and policymakers with a systematic basis for diagnosing security vulnerabilities, optimizing capital allocation, and strengthening end-to-end supply chain resilience.

4.1 Operational Bottlenecks and Legacy System Incompatibilities in Port Hubs

The transition toward Zero-Trust maturity in port-logistics information technology exposes significant tensions between continuous verification protocols and operational continuity across maritime nodes. While contemporary frameworks emphasize predictive analytical structures for assessing dynamic vulnerabilities (Integrating Prompt-Based Zero-Shot Learning into Bayesian Network for Maritime Cybersecurity Risk Analysis, 2026), established structural models for maritime prevention underscore that administrative policies often fail to bridge technical gaps across distributed terminal platforms (Port Cybersecurity and Threat: A Structural Model for Prevention and Policy Development, 2021). Synthesizing these positions reveals that zero-trust capability measurement cannot rely solely on static compliance checklists; instead, robust evaluation requires adaptive risk models that effectively integrate automated threat intelligence with complex multi-stakeholder governance. Nevertheless, a prominent research gap persists regarding how microsegmentation and continuous identity enforcement function within legacy operational technology networks where low-latency communication is vital for automated cargo handling. Most maturity evaluations either treat enterprise IT systems in strict isolation or overlook the operational interdependencies inherent in interconnected port-hinterland ecosystems. Furthermore, current conceptualizations exhibit distinct limitations: existing assessment frameworks struggle to quantify non-linear policy compliance across disparate logistics actors and often underestimate the operational friction introduced by continuous cryptographic authentication in time-sensitive port environments. Consequently, current maturity metrics lack the empirical granularity needed to guide brownfield infrastructure upgrades without impeding trade velocity. Addressing these structural shortcomings requires developing cohesive measurement models that reconcile rigorous least-privilege verification with the throughput demands of modern port terminal infrastructure.

References

  1. Integrating prompt-based zero-shot learning into Bayesian network for maritime cybersecurity risk analysis
    Yunfeng Zhao, Huanhuan Li, Trung Thanh Nguyen et al.
    DOI-link
  2. Guest editorial: Maritime and port logistics: sustainable and smart maritime and port logistics
    Branislav Dragović, Zhongzheng Yang, Stratos Papadimitriou
    DOI-link
  3. Port Congestion and Implications to Maritime Logistics
    Hilde Meersman, Eddy Van de Voorde, Thierry Vanelslander
    DOI-link
  4. Strategies in maritime and port logistics
    Pierre Cariou, Claudio Ferrari, Francesco Parola
  5. Port cybersecurity and threat: A structural model for prevention and policy development
    Chalermpong Senarak
  6. Harnessing the Environment of Maritime Transport and Port Logistics Sector in the Management of Covid-19 Pandemic
    Theophilus Chinonyerem Nwokedi
  7. Port Performance in Changing Logistics Environments: Measurement Development and Model Testing
    Su-Han Woo, Stephen Pettit
  8. A model optimizing the port-hinterland logistics of containers: The case of the Campania region in Southern Italy
    Fedele Iannone

Bibliografie

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