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A Pattern–Driven Adaptation in IoT Orchestrations to Guarantee SPDI Properties

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Model-driven Simulation and Training Environments for Cybersecurity (MSTEC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12512))

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Abstract

The orchestration of heterogeneous IoT devices to enable the provision of IoT applications and services poses numerous challenges, especially in contexts where end-to-end security and privacy guarantees are needed. To tackle these challenges, this paper presents a pattern–driven approach for interacting with IoT systems, whereby the required properties are guaranteed. Patterns are leveraged to represent the relationship between security, privacy, dependability and interoperability (SPDI) properties of specific smart objects and corresponding properties of orchestrations that include said objects. In this way, patterns allow the verification that certain SPDI properties hold for an IoT orchestration, while also enabling the adaptation of IoT orchestrations in ways that allow the given properties to hold.

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Notes

  1. 1.

    https://www.semiotics-project.eu/.

  2. 2.

    http://www.aal-europe.eu//.

  3. 3.

    http://www.bpmn.org/.

  4. 4.

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  5. 5.

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    https://nodejs.org/en/.

  7. 7.

    https://mqtt.org/.

  8. 8.

    https://www.json.org/json-en.html.

  9. 9.

    http://www.tosca-open.org/.

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Acknowledgments

This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No. 780315 (SEMIoTICS).

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Authors and Affiliations

  1. Institute of Computer Science, Foundation for Research and Technology – Hellas, Heraklion, Greece

    Papoutsakis Manos, Michalodimitrakis Emmanouil, Lakka Eftychia, Petroulakis Nikolaos & Ioannidis Sotiris

  2. Department of Computer Science, City University of London, London, UK

    Papoutsakis Manos & Spanoudakis George

  3. Sphynx Technology Solutions AG, Zug, Switzerland

    Fysarakis Konstantinos & Spanoudakis George

Authors
  1. Papoutsakis Manos
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  2. Fysarakis Konstantinos
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  3. Michalodimitrakis Emmanouil
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  4. Lakka Eftychia
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  5. Petroulakis Nikolaos
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  6. Spanoudakis George
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  7. Ioannidis Sotiris
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Correspondence to Papoutsakis Manos .

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Editors and Affiliations

  1. Foundation for Research and Technology - Hellas, Heraklion, Greece

    George Hatzivasilis

  2. Technical University of Crete, Chania, Greece

    Sotiris Ioannidis

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Manos, P. et al. (2020). A Pattern–Driven Adaptation in IoT Orchestrations to Guarantee SPDI Properties. In: Hatzivasilis, G., Ioannidis, S. (eds) Model-driven Simulation and Training Environments for Cybersecurity. MSTEC 2020. Lecture Notes in Computer Science(), vol 12512. Springer, Cham. https://doi.org/10.1007/978-3-030-62433-0_9

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  • DOI: https://doi.org/10.1007/978-3-030-62433-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62432-3

  • Online ISBN: 978-3-030-62433-0

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