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Towards Inherent Privacy Awareness in Workflows

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Book cover Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance (DPM 2014, QASA 2014, SETOP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 8872))

Abstract

This paper presents a holistic approach to the realisation of Privacy by Design in workflow environments, ensuring that workflow models are rendered privacy-aware already at their specification phase. In this direction, the proposed framework, considering the particular technical requirements stemming from data protection principles, is centred around the following features: a novel, ontology-based approach to workflow modelling, which manages, unlike all other existing technologies, to adequately capture privacy aspects pertaining to workflow execution; the appropriate codification of privacy requirements into compliance rules and directives; an automated procedure for the verification of workflow models and their subsequent transformation, if needed, so that they become inherently privacy-aware before being deployed for execution.

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Notes

  1. 1.

    Naturally, the information model may vary; still, several concepts (e.g., roles, operations, data types, etc.) are pervasive and are the focus of the following.

  2. 2.

    In Web Services terms, Operation Containers correspond to a service interface, whereas Operation Instances represent the associated operations [28].

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Acknowledgment

This research was supported by the European Commission, in the frame of the FP7 DEMONS project.

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Authors and Affiliations

  1. School of Electrical and Computer Engineering, National Technical University of Athens, Heroon Polytechniou 9, 15773, Athens, Greece

    Maria N. Koukovini, Eugenia I. Papagiannakopoulou, Georgios V. Lioudakis, Dimitra I. Kaklamani & Iakovos S. Venieris

  2. SingularLogic S.A., Al. Panagouli and Siniosoglou, 14234, Nea Ionia, Greece

    Nikolaos Dellas

Authors
  1. Maria N. Koukovini
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  2. Eugenia I. Papagiannakopoulou
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  3. Georgios V. Lioudakis
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  4. Nikolaos Dellas
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  5. Dimitra I. Kaklamani
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  6. Iakovos S. Venieris
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Corresponding author

Correspondence to Maria N. Koukovini .

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Editors and Affiliations

  1. Télécom SudParis, Evry, France

    Joaquin Garcia-Alfaro

  2. Universitat Autònoma de Barcelona, Bellaterra, Spain

    Jordi Herrera-Joancomartí

  3. Imperial College London, London, United Kingdom

    Emil Lupu

  4. Universität Passau, Passau, Germany

    Joachim Posegga

  5. University of Urbino, Urbino, Italy

    Alessandro Aldini

  6. Pisa Research Area, National Research Council - CNR, Pisa, Italy

    Fabio Martinelli

  7. Technische Universität Darmstadt, Darmstadt, Germany

    Neeraj Suri

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Koukovini, M.N., Papagiannakopoulou, E.I., Lioudakis, G.V., Dellas, N., Kaklamani, D.I., Venieris, I.S. (2015). Towards Inherent Privacy Awareness in Workflows. In: Garcia-Alfaro, J., et al. Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance. DPM QASA SETOP 2014 2014 2014. Lecture Notes in Computer Science(), vol 8872. Springer, Cham. https://doi.org/10.1007/978-3-319-17016-9_7

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  • DOI: https://doi.org/10.1007/978-3-319-17016-9_7

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