A Functional All-Hazard Approach to Critical Infrastructure Dependency Analysis

Journal Article · Wed Sep 01 00:00:00 EDT 2021 · Journal of Critical Infrastructure Policy

DOI:https://doi.org/10.18278/jcip.2.2.6· OSTI ID:1887168

Hruska, Ryan C. ^[1]; McGillivary, Kent E. ^[1]; Edsall, Robert M. ^[1]

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1. Idaho National Lab. (INL), Idaho Falls, ID (United States)

The critical infrastructures protection landscape is a vast and varied pattern of independent, but interconnected infrastructure systems that are essential to the function of our modern society. The U.S. policy on critical infrastructure protection has been continually evolving since the “President’s Commission on Critical Infrastructure Protection” was published in 1997. In response to these policies, federal, state, and local governments, along with research institutions, have invested a substantial amount of time and effort into identifying and analyzing critical infrastructure, their functions, and dependencies/interdependencies to better understand their vulnerabilities. To date, the ability to assess vulnerabilities, resiliency, and priorities for protecting interdependent critical infrastructure systems from an all-hazards perspective remains a difficult problem. In this paper we introduce the All-Hazards Analysis (AHA) methodology, which provides an integrated functional basis across infrastructure systems, through the implementation of a common language and a scalable level of decomposition to effectively evaluate the resilience of interconnected infrastructure systems. AHA models infrastructure systems as directed multidimensional graphs, which enable the evaluation of cross-sector interdependencies prior to, during, and after disruptive events. Finally, and by design, AHA enables the cross linking of data taxonomies to enable more effective data sharing, such as the National Critical Functions (NCF) and Infrastructure Data Taxonomy (IDT).

• Research Organization: Idaho National Laboratory (INL), Idaho Falls, ID (United States)
• Sponsoring Organization: USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Environment, Health, Safety and Security (AU)
• Grant/Contract Number: AC07-05ID14517
• OSTI ID: 1887168
• Report Number(s): INL/JOU-21-64573-Rev000
• Journal Information: Journal of Critical Infrastructure Policy, Journal Name: Journal of Critical Infrastructure Policy Journal Issue: 2 Vol. 2; ISSN 2693-3101
• Publisher: Policy Studies Organization
• Country of Publication: United States
• Language: English

Related Subjects

02 PETROLEUM
97 MATHEMATICS AND COMPUTING
99 GENERAL AND MISCELLANEOUS
CCE
CIE
Consequence-Driven Cyber-Informed Engineering
Consequence-based Targeting
Cyber
Cyber Risk
Cyber Supply Chain Risk
Cyber Threat and Vulnerability
Cyber-Informed Engineering
Cyber-Resilience
Cybersecurity Resilience
Energy Transition
Integrating Cybersecurity
cascading effects
critical Infrastructure
dependency
functional decomposition
interdependency
modeling
modeling and simulation
resilience