Zero Trust Architecture for UAV/Rail Logistics Ecosystem

Abstract

As unmanned aerial vehicles (UAVs) and smart rail systems become increasingly integrated into logistics
and supply chain operations, ensuring secure, resilient communication and coordination between these
components is critical. Traditional perimeter-based security models are no longer sufficient for such dynamic,
distributed ecosystems. This research proposes a Zero Trust Architecture (ZTA) tailored to the UAV/rail logistics
domain, addressing the challenges of securing multimodal transport nodes, autonomous coordination, and real-
time data exchange across untrusted and heterogeneous networks. Unlike conventional models that assume
implicit trust within a network boundary, ZTA continuously validates every user, device, and service attempting to
interact with the system, enforcing strict access controls and real-time behavioral monitoring. This paper adopts an
exploratory approach to assess the feasibility and impact of applying Zero Trust principles to a complex,
multimodal logistics ecosystem. Rather than presenting a finalized solution, the work investigates key design
considerations, architectural trade-offs, and implementation challenges unique to UAV and rail system integration.
The proposed architecture is designed to authenticate and authorize interactions across UAVs, rail infrastructure,
edge nodes, and command-and-control centers using principles of least privilege, micro-segmentation, and
continuous verification. Machine learning models are incorporated to detect anomalies in system behavior, such as
route deviations or unauthorized data flows, enabling rapid threat identification and mitigation. Furthermore, this
approach integrates policy-based access control with identity-aware proxies to enforce trust decisions dynamically
and contextually based on device posture, geolocation, and real-time mission parameters. The implications of this
work extend beyond protecting individual assets; they enable the secure orchestration of complex, time-sensitive
logistics chains involving autonomous and semi-autonomous agents. This work demonstrates that implementing
Zero Trust in UAV/rail logistics is both technically viable and operationally beneficial, offering a path toward
resilient, adaptive infrastructure capable of withstanding evolving cyber threats without compromising
performance or interoperability.