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A Secure User-Centred Healthcare System: Design and Verification

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From Data to Models and Back (DataMod 2021)

Abstract

With ever increasing amounts of travel, it is essential to have access to a patient’s medical data from different sources including many jurisdictions. The Serums project addresses this goal by creating a healthcare sharing system that places privacy and security aspects at the center. This raises significant challenges to both maintain privacy and security of medical data and to allow for sharing and access. To address these strict requirements the Serums system design is supported by formal methods where design decisions are modelled and checked to meet safety and security properties. We report an experience in support of the system design with formal modelling with the Uppaal tool and analysis with exhaustive and statistical model checking. Results show that statistical model checking being a simulation-based technique can significantly improve feasibility of analysis while providing support for design decisions to ensure privacy and security.

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Notes

  1. 1.

    Information on GDPR can be found at https://gdpr-info.eu/.

  2. 2.

    For more information refer to https://www.serums-h2020.org.

  3. 3.

    It is possible to simplify the property by checking it separately for each doctor, however the simplification doesn’t affect RAM consumption while single doctor check takes almost the same time as the check for all doctors.

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Acknowledgements

This research is funded by the EU H2020 project SERUMS (grant 826278). We thank Matthew Banton from the University of St Andrews for comments that greatly improved the platform security properties and Serums partners from Accenture and Sopra Steria for their help on the architectural diagrams design.

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Correspondence to Eduard Baranov .

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Baranov, E., Bowles, J., Given-Wilson, T., Legay, A., Webber, T. (2022). A Secure User-Centred Healthcare System: Design and Verification. In: Bowles, J., Broccia, G., Pellungrini, R. (eds) From Data to Models and Back. DataMod 2021. Lecture Notes in Computer Science, vol 13268. Springer, Cham. https://doi.org/10.1007/978-3-031-16011-0_4

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