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Homomorphic Encryption in Manufacturing Compliance Checks

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Trust, Privacy and Security in Digital Business (TrustBus 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13582))

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Abstract

Compliance data consists of manufacturing quality measures collected in the production process. Quality checks are most of the times computationally expensive to perform mainly due to the amount of collected data. Having trusted solutions for outsourcing analyses to the Cloud is an opportunity for reducing costs of operation. However, the adoption of the Cloud computation paradigm is delayed for the many security risks associated with it. In the use case we consider in this paper, compliance data is very sensitive, because it may contain IP-critical information, or it may be related to safety-critical operations or products. While the technological solutions that protect data in-transit or at rest has reached a satisfying level of maturity, there is a huge demand for securing data in-use. Homomorphic Encryption (HE) is one of the main technological enablers for secure computation outsourcing. In the last decade, HE has reached maturity with remarkable pace. However, using HE is still far from being an automated process and each use case introduces different challenges.

In this paper, we investigate application of HE to the described scenario highlighting, in particular, the main operations of the comparison algorithm, we identify the challenges that HE technology introduces and we propose a solution per challenge. Finally, we evaluate our proposals using one of the open source HE libraries, SEAL, for our implementations.

This work was supported by the project COLLABS, funded by the European Commission under Grant Agreements No. 871518. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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Notes

  1. 1.

    Motivations can be found at https://internationaldataspaces.org/wp-content/uploads/dlm_uploads/IDSA-Position-Paper-Data-Sovereignty%E2%80%93Critical-Success-Factor-for-the-Manufacturing-Industry.pdf.

  2. 2.

    https://www.plex.com/blog/10-strategies-making-compliance-competitive-advantage-aerospace-and-defense.

  3. 3.

    https://cve.mitre.org/cgi-bin/cvekey.cgi?keyword=SGX.

  4. 4.

    https://cve.mitre.org/cgi-bin/cvekey.cgi?keyword=trustzone.

  5. 5.

    https://www.microsoft.com/en-us/research/project/microsoft-seal/.

  6. 6.

    https://en.wikipedia.org/wiki/Point_cloud.

  7. 7.

    https://github.com/microsoft/EVA.

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Authors and Affiliations

  1. Department of Informatics and Telematics, Harokopio University, Athens, 177 78, Greece

    Aikaterini Triakosia, Panagiotis Rizomiliotis & Konstantinos Tserpes

  2. Applied Research and Technology, Collins Aerospace, Rome, Italy

    Cecilia Tonelli, Valerio Senni & Fabio Federici

Authors
  1. Aikaterini Triakosia
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  2. Panagiotis Rizomiliotis
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  3. Konstantinos Tserpes
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  4. Cecilia Tonelli
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  5. Valerio Senni
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  6. Fabio Federici
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Correspondence to Aikaterini Triakosia .

Editor information

Editors and Affiliations

  1. Norwegian University of Science and Technology, Gjøvik, Norway

    Sokratis Katsikas

  2. University of Nottingham, Nottingham, UK

    Steven Furnell

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Triakosia, A., Rizomiliotis, P., Tserpes, K., Tonelli, C., Senni, V., Federici, F. (2022). Homomorphic Encryption in Manufacturing Compliance Checks. In: Katsikas, S., Furnell, S. (eds) Trust, Privacy and Security in Digital Business. TrustBus 2022. Lecture Notes in Computer Science, vol 13582. Springer, Cham. https://doi.org/10.1007/978-3-031-17926-6_6

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  • DOI: https://doi.org/10.1007/978-3-031-17926-6_6

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