Utilizing semantic big data for realizing a national-scale infrastructure vulnerability analysis system

Sangkeun Lee, Supriya Chinthavali, Sisi Duan, Mallikarjun Shankar
2016 Proceedings of the International Workshop on Semantic Big Data - SBD '16  
Critical Infrastructure systems (CIs) such as energy, water, transportation, and communication are highly interconnected and mutually dependent in complex ways. Robust modeling of CIs' interconnections is crucial to identify vulnerabilities in the CIs. We present a vision of national-scale Infrastructure Vulnerability Analysis System (IVAS) leveraging Semantic Big Data (SBD) tools, Big Data, and Geographical Information Systems (GIS) tools. We first survey existing approaches on vulnerability
more » ... alysis of critical infrastructures and discuss relevant systems and tools aligned with our vision. Next, we present a generic system architecture and discuss challenges including: (1) Constructing and managing a CI network-of-networks graph, (2) Performing analytic operations at scale, and (3) Interactive visualization of analytic output to generate meaningful insights. We argue that this architecture acts as a baseline to realize a national-scale network based vulnerability analysis system.
doi:10.1145/2928294.2928295 dblp:conf/sigmod/LeeCDS16 fatcat:biolcgbtojcfja72ryoiqcj5ku