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. 13, 2025

Filed:

Feb. 17, 2022
Applicants:

Charles Connors, Santee, CA (US);

Geoffrey R. Janjua, Ogden, UT (US);

Kenneth F. Mckinney, San Diego, CA (US);

Victoria Nagorski, San Diego, CA (US);

Charles Negus, San Diego, CA (US);

David Squiller, San Diego, CA (US);

Lyndsay Walker, San Diego, CA (US);

Matthew Ward, Temecula, CA (US);

Kenneth R. Weidele, San Diego, CA (US);

Inventors:

Charles Connors, Santee, CA (US);

Geoffrey R. Janjua, Ogden, UT (US);

Kenneth F. McKinney, San Diego, CA (US);

Victoria Nagorski, San Diego, CA (US);

Charles Negus, San Diego, CA (US);

David Squiller, San Diego, CA (US);

Lyndsay Walker, San Diego, CA (US);

Matthew Ward, Temecula, CA (US);

Kenneth R. Weidele, San Diego, CA (US);

Assignee:

NORTHROP GRUMMAN SYSTEMS CORPORATION, Falls Church, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); H04L 9/40 (2022.01); H04L 41/12 (2022.01); H04L 41/16 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1433 (2013.01); H04L 41/12 (2013.01); H04L 41/16 (2013.01); H04L 63/1441 (2013.01);
Abstract

In an example, a component analyzer can compute a respective part score for each part of the platform based on a part property table, and a respective connection score for each connection of the platform based on a connection property table. The component analyzer can provide the respective part and connection scores as score data to an architecture modeling engine to compute a probability model based on the score data and an architecture model. The probability model can include a part probability value and a connection probability value, and the architecture model can characterize a target architecture of the platform. A survivability analysis engine can evaluate the probability model and the architecture model to determine a likelihood that one or more potential cyber-attacks on the platform based on the target architecture are successful or unsuccessful in compromising at least one part of the platform.


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