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Digital Forensics and Privacy-by-Design: Example in a Blockchain-Based Dynamic Navigation System

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Privacy Technologies and Policy (APF 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11498))

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Abstract

This research presents an experimental model and prototype to exploit digital evidence in Internet of Things (IoT). The novelty of this research is to consider new data privacy mechanisms that should be implemented in IoT, in compliance with the GDPR regulation, and their impact on digital forensic processes. The testbed is an innovative project for car navigation [1, 2], GDPR compatible, which offers users the possibility to submit their GPS position into a blockchain for obtaining road traffic information and alternative paths. The vehicles are communicating among themselves through IoTs and circumvent the use of third-party services. We propose a solution for forensic investigations of such a service by building a solid case thanks to the non-repudiable, immutable, identifiable as current and authentic properties of data logged into the blockchain. This solution applies to criminal and insurance cases, where law enforcement and individuals need to prove their claims.

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Authors and Affiliations

  1. Geneva School of Business Administration, HES-SO, Geneva, Switzerland

    David Billard & Baptiste Bartolomei

Authors
  1. David Billard
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  2. Baptiste Bartolomei
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Corresponding author

Correspondence to David Billard .

Editor information

Editors and Affiliations

  1. Università di Roma - Tor Vergata, Rome, Italy

    Maurizio Naldi

  2. LUISS Guido Carli University, Rome, Italy

    Giuseppe F. Italiano

  3. Goethe University Frankfurt, Frankfurt, Germany

    Kai Rannenberg

  4. Universitat Politècnica de Catalunya, Barcelona, Spain

    Manel Medina

  5. ENISA, Heraklion, Greece

    Athena Bourka

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Billard, D., Bartolomei, B. (2019). Digital Forensics and Privacy-by-Design: Example in a Blockchain-Based Dynamic Navigation System. In: Naldi, M., Italiano, G., Rannenberg, K., Medina, M., Bourka, A. (eds) Privacy Technologies and Policy. APF 2019. Lecture Notes in Computer Science(), vol 11498. Springer, Cham. https://doi.org/10.1007/978-3-030-21752-5_10

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  • DOI: https://doi.org/10.1007/978-3-030-21752-5_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21751-8

  • Online ISBN: 978-3-030-21752-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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