Scientific Data Management for Interconnected Critical Infrastructure Systems

Abstract

The Maritime Transportation System (MTS) is a nexus of critical infrastructure systems, combining intermodal movements along road, rail, and sea with emerging automation and supply chain management technologies. To understand risk in such an environment, a wide variety of stakeholder viewpoints must be integrated, including those from the Energy and Communications/IT infrastructure sectors. Therefore, this paper presents a data curation and management framework to support the analysis of Interconnected Critical Infrastructures (ICI) that is based on extensive fieldwork and security exercises with several shipping ports and supporting stakeholders. Our first contribution applies the CITE2 URN syntax as an approach to catalog and reference notional and multi-versioned critical infrastructure networks and flows along them. This common reference scheme supports integration of a variety of publicly-available and privately-held data sources such as the National Transportation Atlas Database (NTAD) from the Bureau of Transportation Statistics (BTS), vessel movements from individual ports via harbormaster or Automatic Identification System (AIS) data, and container movements. Our second contribution provides a theoretical framework to support analysis across multiple expressions of the same notional critical infrastructure asset. For example, geospatial grids and graph-based representations of critical infrastructure networks support complementary operations that when integrated, provide a holistic view of risk of the ICI being studied. Results based on the Jack Voltaic 3.0 exercises conducted in Charleston SC demonstrate the utility and adaptability of our data curation and analysis by integrating grid and network-based views on a regional transportation system and its geospatial dependencies on Communications/IT sectors and bulk electric system.