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Threat Assessment Technology Development

  • Conference paper
Modeling and Using Context (CONTEXT 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3554))

Abstract

A concept for performing threat analysis is developed. The goal is to establish a systematic approach for predicting, detecting and characterizing threat activity; allowing automation of some of these functions. The proposed approach explicitly addresses the fundamental problems of (a) sparse and ambiguous indicators of potential or actualized threat activity buried in massive background data; and (b) uncertainty in threat capabilities, intent and opportunities. Threats are modeled in terms of potential and actualized relationships between perpetrators (threatening entities) and targets (threatened entities). Threats may be intentional or unintentional (e.g. potential natural disasters or human error). Intentional threats can also have unintended consequences. Attack hypotheses are adaptively generated, evaluated and refined as the understanding of the situation evolves. This effort builds upon advances in Situation, Ontology and Estimation theory.

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Author information

Authors and Affiliations

  1. CUBRC, Inc., Buffalo, NY, USA

    Alan N. Steinberg

Authors
  1. Alan N. Steinberg
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Editor information

Editors and Affiliations

  1. Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Ave, 15213-3891, Pittsburgh, PA, USA

    Anind Dey

  2. Central and East European Center for Cognitive Science, New Bulgarian University, 21 Montevideo Street, 1618, Sofia, Bulgaria

    Boicho Kokinov

  3. Computer Science Department, Indiana University, 47405, Bloomington, IN, U.S.A.

    David Leake

  4. Department of Computer Science, University of Maine, 04469, Orono, Maine, USA

    Roy Turner

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© 2005 Springer-Verlag Berlin Heidelberg

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Steinberg, A.N. (2005). Threat Assessment Technology Development. In: Dey, A., Kokinov, B., Leake, D., Turner, R. (eds) Modeling and Using Context. CONTEXT 2005. Lecture Notes in Computer Science(), vol 3554. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508373_37

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  • DOI: https://doi.org/10.1007/11508373_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26924-3

  • Online ISBN: 978-3-540-31890-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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