XLab: Early Indications & Warnings from Open Source Data with Application to Biological Threat

dc.contributor.author Simek, Olga
dc.contributor.author Davis, Curtis
dc.contributor.author Heier, Andrew
dc.contributor.author Mohindra, Sanjeev
dc.contributor.author O'Brien, Kyle
dc.contributor.author Passarelli, John
dc.contributor.author Waugh, Frederick
dc.date.accessioned 2017-12-28T00:42:44Z
dc.date.available 2017-12-28T00:42:44Z
dc.date.issued 2018-01-03
dc.description.abstract XLab is an early warning system that addresses a broad range of national security threats using a flexible, rapidly reconfigurable architecture. XLab enables intelligence analysts to visualize, explore, and query a knowledge base constructed from multiple data sources, guided by subject matter expertise codified in threat model graphs. This paper describes a novel system prototype that addresses threats arising from biological weapons of mass destruction. The prototype applies knowledge extraction analytics-”including link estimation, entity disambiguation, and event detection-”to build a knowledge base of 40 million entities and 140 million relationships from open sources. Exact and inexact subgraph matching analytics enable analysts to search the knowledge base for instances of modeled threats. The paper introduces new methods for inexact matching that accommodate threat models with temporal and geospatial patterns. System performance is demonstrated using several simplified threat models and an embedded scenario.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2018.118
dc.identifier.isbn 978-0-9981331-1-9
dc.identifier.uri http://hdl.handle.net/10125/50005
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Decision Support for Complex Networks
dc.subject indications and warnings, graph matching, threat models
dc.title XLab: Early Indications & Warnings from Open Source Data with Application to Biological Threat
dc.type Conference Paper
dc.type.dcmi Text
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