BioSecure Digital Twin: Manufacturing Innovation and Cybersecurity Resilience

Book · Wed Nov 17 04:00:00 EST 2021

OSTI ID:1893769

Mylrea, Michael ^[1]; Fracchia, Charles ^[2]; Grimes, Howard ^[3]; Reid, Bill ^[1]; Case, Nathan ^[1]; Austad, Wayne E ^[4]; Shannon, Gregory Edward ^[4]

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1. National Resilience Inc
2. BioBright
3. CyManII
4. Idaho National Laboratory

U.S. national security, prosperity, economy, and well-being require secure, flexible, and resilient Biopharmaceutical Manufacturing. The COVID-19 pandemic reaffirmed that the biomedical production value-chain is vulnerable to disruption and has been under attack from sophisticated nation-state adversaries. Current cyber defenses are inadequate, and the integrity of critical production systems and processes are inherently vulnerable to cyber-attacks, human error, and supply chain disruptions. The following chapter explores how a BioSecure Digital Twin will improve U.S. manufacturing resilience and preparedness to respond to these hazards by significantly improving monitoring, integrity, security, and agility of our manufacturing infrastructure and systems. The BioSecure Digital Twin combines a scalable manufacturing framework with a robust platform for monitoring and control to increase U.S. biopharma manufacturing resilience. Then, the chapter discusses some of the inherent vulnerabilities and challenges at the nexus of health and advanced manufacturing. Next, the chapter highlights that as the Pandemic evolves, we need agility and resilience to overcome significant obstacles. This section highlights an innovative application of Cyber Informed Engineering to developing and deploying a BioSecure Digital Twin to improve the resilience and security of the biopharma industrial supply chain and production processes. Finally, the chapter concludes with a process framework to complement the Digital Twin platform, called the Biopharma (Observe, Orient, Decide, Act) OODA Loop Framework (BOLF), a four-step approach to decision-making outputs from the Digital Twin. The BOLF will help end users leverage twin technology by distilling the available information, focusing the data on context, and rapidly making the best decision while remaining cognizant of changes that can be made as more data becomes available.

• Research Organization: Idaho National Laboratory (INL), Idaho Falls, ID (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC07-05ID14517
• OSTI ID: 1893769
• Report Number(s): INL/JOU-22-69525-Rev000
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
Advanced manufacturing
CCE
CIE
Consequence-Driven Cyber-Informed Engineering
Consequence-based Targeting
Critical infrastructure
Cyber
Cyber Risk
Cyber Supply Chain Risk
Cyber Threat and Vulnerability
Cyber informed engineering
Cyber-Informed Engineering
Cyber-Resilience
Cybersecurity
Cybersecurity Resilience
Digital Twin
Energy Transition
Integrating Cybersecurity
OODA Loop
Resilience