The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 05, 2020

Filed:

Feb. 28, 2017
Applicant:

Raytheon Company, Waltham, MA (US);

Inventors:

Paul Christian Hershey, Ashburn, VA (US);

Marilyn Winklareth Zett, Vienna, VA (US);

Michael Angelo Cianciosi, II, Fairfax, VA (US);

Brianne Rene-Martinek Hoppes, Westminster, CO (US);

Roland Dige Chang, Fairfax, VA (US);

Andrew Arnold, Arlington, VA (US);

John Zolper, Jr., Vienna, VA (US);

Assignee:

Raytheon Company, Waltham, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F41H 11/02 (2006.01); F41H 11/00 (2006.01); G06N 7/00 (2006.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
F41H 11/02 (2013.01); F41H 11/00 (2013.01); G06F 17/18 (2013.01); G06N 7/005 (2013.01);
Abstract

An automated system and method provides for planning and response to disparate threats with combined kinetic (e.g., missile interceptor) and non-kinetic (e.g., cyber and electronic warfare) effects. The threat and effects inputs and the results of analysis tools that individually apply a single effect type to negate a threat vulnerability are normalized to a form and format ingestible by a Stochastic Math Model (SMM). The normalized inputs reflect the success/failure of the effect versus a threat vulnerability as a score, not a probability. The normalized results decompose a probability of defeat (Pdefeat) for an individual effect as a set of hierarchical parameters represented as probabilities. The SMM and analysis tools are iteratively run on the normalized inputs and results data, including either organically or synthetically injected variability of the data, to compute and visualize a Pdefeat with an associated confidence interval (CI) for each effect and the combined effects at each stage of the threat kill chain.


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