Abstract
Abstract—Critical Infrastructures (CIs) such as energy, water,
and transportation are complex networks that are crucial
for sustaining day-to-day commodity flows vital to national security,
economic stability, and public safety. The nature of these
CIs is such that failures caused by an extreme weather event or
a man-made incident can trigger widespread cascading failures,
sending ripple effects at regional or even national scales. To
minimize such effects, it is critical for emergency responders to
identify existing or potential vulnerabilities within CIs during
such stressor events in a systematic and quantifiable manner
and take appropriate mitigating actions. We present here a
novel critical infrastructure monitoring and analysis system
named URBAN-NET. The system includes a software stack and
tools for monitoring CIs, pre-processing data, interconnecting
multiple CI datasets as a heterogeneous network, identifying
vulnerabilities through graph-based topological analysis, and
predicting consequences based on ”what-if” simulations along
with visualization. As a proof-of-concept, we present several
case studies to show the capabilities of our system. We also
discuss remaining challenges and future work.
