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Trust Handling Framework for Networks in Cyber Physical Systems of Industry 4.0

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Perspectives in Business Informatics Research (BIR 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 330))

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Abstract

Industry 4.0 is a concept of automation and data exchange in a manufacturing environment that combines advances of cyber physical systems, Internet of Things, cloud computing, and cognitive computing. It is a highly networked system where only trustworthy elements are allowed to participate in the network. Therefore, the possibility of having tools for indicating whether a particular node can or cannot be trusted in the network becomes an essential issue in the successful functioning of cyber physical systems in Industry 4.0. The paper proposes a trust handling framework as a base for such tools. The framework is based on knowledge derived from related work in social sciences, information technology and computer sciences, and also distributed sensing systems. The framework consists of several components that can handle initial and continuous trust issues at the level of nodes and at the level of network in cyber physical system of Industry 4.0.

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Acknowledgement

This research was partly done within the Erasmus+ Strategic Partnership “Improving Employability through Internationalisation and Collaboration” (EPIC) project, with the support of the Erasmus+ programme of the European Union.

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Authors and Affiliations

  1. Riga Technical University, 1 Kalku, Riga, 1658, Latvia

    Marina Harlamova & Marite Kirikova

Authors
  1. Marina Harlamova
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  2. Marite Kirikova
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Correspondence to Marite Kirikova .

Editor information

Editors and Affiliations

  1. Stockholm University, Kista, Sweden

    Jelena Zdravkovic

  2. Riga Technical University, Riga, Latvia

    Jānis Grabis

  3. Université de Paris 1 Panthéon - Sorbonne, Paris, France

    Selmin Nurcan

  4. Stockholm University, Kista, Sweden

    Janis Stirna

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Harlamova, M., Kirikova, M. (2018). Trust Handling Framework for Networks in Cyber Physical Systems of Industry 4.0. In: Zdravkovic, J., Grabis, J., Nurcan, S., Stirna, J. (eds) Perspectives in Business Informatics Research. BIR 2018. Lecture Notes in Business Information Processing, vol 330. Springer, Cham. https://doi.org/10.1007/978-3-319-99951-7_3

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  • DOI: https://doi.org/10.1007/978-3-319-99951-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99950-0

  • Online ISBN: 978-3-319-99951-7

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