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Agile services and analysis framework for autonomous and autonomic critical infrastructure

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Abstract

Many cyber physical systems have little or no cybersecurity mechanisms due to their limited computing capabilities or their history of running on isolated networks. As these systems have become interconnected and connected to corporate networks, they have become more vulnerable to cyberattacks. Providing cyber physical systems with autonomic properties will allow them to become more self-aware and react in near real time to attacks and failures. Testing these systems for their susceptibility to intelligent attacks is also needed to provide assurance of their resilience. This paper describes two approaches to providing assurances to cyber physical systems. The first approach retrofits industrial control systems with autonomic properties that will allow them to automatically detect and recover from cyberattacks and other failures through the use of microservices that reconfigure the systems dynamically during attacks or failures. The second approach uses intelligent agents in a modeling and simulation framework to test the resiliency of autonomous unmanned aerial systems. Agents are orchestrated using a range of algorithms and subjected to stressful environments to measure the efficiency and safety of their operations in a simulate multi-UAS air-traffic control problem.

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Acknowledgements

The KAIROS and CAAS projects were supported by Johns Hopkins University Applied Physics Laboratory Internal Research and Development (IRAD) funding.

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Authors and Affiliations

  1. Johns Hopkins University Applied Physics Laboratory, Laurel MD, USA

    Joe Maurio, Paul Wood, Sebastian Zanlongo, Josh Silbermann, Tamim Sookoor, Alberto Lorenzo, Randy Sleight, James Rogers, Dan Muller, Noah Armiger, Christopher Rouff & Lanier Watkins

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  1. Joe Maurio
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Correspondence to Christopher Rouff.

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Maurio, J., Wood, P., Zanlongo, S. et al. Agile services and analysis framework for autonomous and autonomic critical infrastructure. Innovations Syst Softw Eng 19, 145–156 (2023). https://doi.org/10.1007/s11334-021-00411-9

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