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Title: Framework and methodology for supply chain lifecycle analytics

Abstract

The various technologies presented herein relate to pertaining to identifying and mitigating risks and attacks on a supply chain. A computer-implemented representation of a supply chain is generated comprising nodes (locations) and edges (objects, information). Risk to attack and different attack vectors can be defined for the various nodes and edges, and further, based upon the risks and attacks, (difficulty, consequence) pairs can be determined. One or more mitigations can be generated to increase a difficulty of attack and/or reduce consequence of an attack. The one or more mitigations can be constrained, e.g., by cost, time, etc., to facilitate determination of how feasible a respective mitigation is to implement with regard to finances available, duration to implement, etc. A context-free grammar can be utilized to identify one or more attacks in the supply chain. Further, the risks can undergo a ranking to enable mitigation priority to be determined.

Inventors:
; ; ; ; ;
Issue Date:
Research Org.:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1455194
Patent Number(s):
9,992,219
Application Number:
14/940,005
Assignee:
National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Resource Relation:
Patent File Date: 2015 Nov 12
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Hamlet, Jason, Eames, Brandon K., Kao, Gio K., Lin, Han Wei, Helinski, Ryan, and Michalski, John T. Framework and methodology for supply chain lifecycle analytics. United States: N. p., 2018. Web.
Hamlet, Jason, Eames, Brandon K., Kao, Gio K., Lin, Han Wei, Helinski, Ryan, & Michalski, John T. Framework and methodology for supply chain lifecycle analytics. United States.
Hamlet, Jason, Eames, Brandon K., Kao, Gio K., Lin, Han Wei, Helinski, Ryan, and Michalski, John T. Tue . "Framework and methodology for supply chain lifecycle analytics". United States. https://www.osti.gov/servlets/purl/1455194.
@article{osti_1455194,
title = {Framework and methodology for supply chain lifecycle analytics},
author = {Hamlet, Jason and Eames, Brandon K. and Kao, Gio K. and Lin, Han Wei and Helinski, Ryan and Michalski, John T.},
abstractNote = {The various technologies presented herein relate to pertaining to identifying and mitigating risks and attacks on a supply chain. A computer-implemented representation of a supply chain is generated comprising nodes (locations) and edges (objects, information). Risk to attack and different attack vectors can be defined for the various nodes and edges, and further, based upon the risks and attacks, (difficulty, consequence) pairs can be determined. One or more mitigations can be generated to increase a difficulty of attack and/or reduce consequence of an attack. The one or more mitigations can be constrained, e.g., by cost, time, etc., to facilitate determination of how feasible a respective mitigation is to implement with regard to finances available, duration to implement, etc. A context-free grammar can be utilized to identify one or more attacks in the supply chain. Further, the risks can undergo a ranking to enable mitigation priority to be determined.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {6}
}

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Works referenced in this record:

Risk Assessment and Management
patent-application, August 2013