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A Complex Systems Approach to Develop a Multilayer Network Model for High Consequence Facility Security

Springer Proceedings in Complexity

Williams, Adam D.; Birch, Gabriel C.; Caskey, Susan A.; Gunda, Aravinda S.; Wingo, Jamie; Adams, Thomas A.

Protecting high consequence facilities (HCF) from malicious attacks is challenged by today’s increasingly complex, multi-faceted, and interdependent operational environments and threat domains. Building on current approaches, insights from complex systems and network science can better incorporate multidomain interactions observed in HCF security operations. These observations and qualitative HCF security expert data support invoking a multilayer modeling approach for HCF security to shift from a “reactive” to a “proactive” paradigm that better explores HCF security dynamics and resilience not captured in traditional approaches. After exploring these multi-domain interactions, this paper introduces how systems theory and network science insights can be leveraged to describe HCF security as complex, interdependent multilayer directed networks. A hypothetical example then demonstrates the utility of such an approach, followed by a discussion on key insights and implications of incorporating multilayer network analytical performance measures into HCF security.

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Resilience-based performance measures for next-generation systems security engineering

Proceedings - International Carnahan Conference on Security Technology

Williams, Adam D.; Adams, Thomas A.; Wingo, Jamie; Birch, Gabriel C.; Caskey, Susan A.; Fleming Lindsley, Elizabeth S.; Gunda, Thushara G.

Performance measures commonly used in systems security engineering tend to be static, linear, and have limited utility in addressing challenges to security performance from increasingly complex risk environments, adversary innovation, and disruptive technologies. Leveraging key concepts from resilience science offers an opportunity to advance next-generation systems security engineering to better describe the complexities, dynamism, and non-linearity observed in security performance—particularly in response to these challenges. This article introduces a multilayer network model and modified Continuous Time Markov Chain model that explicitly captures interdependencies in systems security engineering. The results and insights from a multilayer network model of security for a hypothetical nuclear power plant introduce how network-based metrics can incorporate resilience concepts into performance metrics for next generation systems security engineering.

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13 Results
13 Results