A Model for Threat Assessment

Steinberg, Alan N.

doi:10.1007/978-3-319-22527-2_15

Cited by 2 publications

(2 citation statements)

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“…A related and challenging area is risk assessment, which typically relies on probability estimates provided by subject matter experts (SMEs). Steinberg [7] provides a general Bayesian framework and discusses in detail a threat model paradigm that takes into consideration the means, motive, and opportunity of threat actors. XLab threat models, discussed in Section 4, make extensive use of this paradigm.…”

Section: Related Workmentioning

confidence: 99%

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

Simek

Davis²,

Heier

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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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.

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Section: Related Workmentioning

confidence: 99%

“…When constructing a threat model, SMEs can elect to model either a small element of a threat or their full threat understanding based on the means/motive/opportunity paradigm [7]. Figure 3 depicts an example of a full threat model for the bio-WMD threat.…”

Section: Threat Modelsmentioning

confidence: 99%