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Engineering Artificially Intelligent Systems pp 53–72Cite as

BioSecure Digital Twin: Manufacturing Innovation and Cybersecurity Resilience

Part of the Lecture Notes in Computer Science book series (LNISA,volume 13000)

Abstract

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.

Keywords

  • Digital Twin
  • Critical infrastructure
  • Cybersecurity
  • Resilience
  • Advanced manufacturing
  • Cyber informed engineering
  • OODA Loop

This work was partially funded by the Department of Energy under contract DOE-EE0009046.

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  • DOI: 10.1007/978-3-030-89385-9_4
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References

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Author information

Authors and Affiliations

  1. National Resilience Inc., La Jolla, CA, 92037, USA

    Michael Mylrea, Bill Reid & Nathan Case

  2. BioBright, Boston, MA, 02114, USA

    Charles Fracchia

  3. The Cybersecurity Manufacturing Innovation Institute, University of Texas at San Antonio, San Antonio, TX, 78249, USA

    Howard Grimes

  4. The Cybersecurity Manufacturing Innovation Institute, Idaho National Laboratory, Idaho Falls, ID, 83415, USA

    Wayne Austad

  5. The Cybersecurity Manufacturing Innovation Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Gregory Shannon

Authors
  1. Michael Mylrea
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  2. Charles Fracchia
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  3. Howard Grimes
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  4. Wayne Austad
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  5. Gregory Shannon
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  6. Bill Reid
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  7. Nathan Case
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Corresponding author

Correspondence to Michael Mylrea .

Editor information

Editors and Affiliations

  1. Paine College, Augusta, GA, USA

    William F. Lawless

  2. University at Buffalo, Director Emeritus, Center for Multi-source Information Fusion, Buffalo, NY, USA

    Prof. James Llinas

  3. U.S. Naval Research Laboratory, Washington, DC, USA

    Donald A. Sofge

  4. U.S. Naval Research Laboratory, Washington, DC, USA

    Ranjeev Mittu

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Mylrea, M. et al. (2021). BioSecure Digital Twin: Manufacturing Innovation and Cybersecurity Resilience. In: Lawless, W.F., Llinas, J., Sofge, D.A., Mittu, R. (eds) Engineering Artificially Intelligent Systems. Lecture Notes in Computer Science(), vol 13000. Springer, Cham. https://doi.org/10.1007/978-3-030-89385-9_4

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  • DOI: https://doi.org/10.1007/978-3-030-89385-9_4

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