Zero Trust Architecture for UAV/Rail Logistics Ecosystem

As unmanned aerial vehicles (UAVs) and smart rail systems become increasingly integrated into logisticsand supply chain operations, ensuring secure, resilient communication and coordination between thesecomponents 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 logisticsdomain, addressing the challenges of securing multimodal transport nodes, autonomous coordination, and real-time data exchange across untrusted and heterogeneous networks. Unlike conventional models that assumeimplicit trust within a network boundary, ZTA continuously validates every user, device, and service attempting tointeract with the system, enforcing strict access controls and real-time behavioral monitoring. This paper adopts anexploratory 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 designconsiderations, 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, andcontinuous verification. Machine learning models are incorporated to detect anomalies in system behavior, such asroute deviations or unauthorized data flows, enabling rapid threat identification and mitigation. Furthermore, thisapproach integrates policy-based access control with identity-aware proxies to enforce trust decisions dynamicallyand contextually based on device posture, geolocation, and real-time mission parameters. The implications of thiswork extend beyond protecting individual assets; they enable the secure orchestration of complex, time-sensitivelogistics chains involving autonomous and semi-autonomous agents. This work demonstrates that implementingZero Trust in UAV/rail logistics is both technically viable and operationally beneficial, offering a path towardresilient, adaptive infrastructure capable of withstanding evolving cyber threats without compromisingperformance or interoperability.