Insights for Systems Security Engineering from Multilayer Network Models

Next‐generation approaches for systems security engineering will need to address challenges stemming from complex risk environments, innovative adversaries, and disruptive technologies—particularly for high consequence facilities (HCF). Key insights from complexity, systems, and network theories—and...

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Bibliographic Details
Published in:INCOSE International Symposium Vol. 31; no. 1; pp. 280 - 295
Main Authors: Williams, Adam D., Birch, Gabriel C., Caskey, Susan A., Fleming, Elizabeth S., Gunda, Thushara, Adams, Thomas, Wingo, Jamie
Format: Journal Article Conference Proceeding
Language:English
Published: United States 01-07-2021
Online Access:Get full text
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Summary:Next‐generation approaches for systems security engineering will need to address challenges stemming from complex risk environments, innovative adversaries, and disruptive technologies—particularly for high consequence facilities (HCF). Key insights from complexity, systems, and network theories—and support from subject matter expert (SME) elicited empirical data—support using a multilayer network model for HCF security to address these challenges. Early results of modeling HCF security system performance in terms of multilayer network characteristics seemed to meet the needs expressed in the SME data, provide a suite of mathematically tractable metrics to describe more complex security behaviors, and align with characteristics related to incorporating systems security engineering into the future of systems engineering.
Bibliography:Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE‐NA‐0003525. SAND2021‐3780 C.
NA0003525
USDOE National Nuclear Security Administration (NNSA)
SAND2021-3780C
ISSN:2334-5837
2334-5837
DOI:10.1002/j.2334-5837.2021.00838.x