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Towards Transparent Real-Time Privacy Risk Assessment of Intelligent Transport Systems

  • Gencer ErdoganEmail author
  • Aida Omerovic
  • Marit K. Natvig
  • Isabelle C. R. Tardy
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10224)

Abstract

There are many privacy concerns within Intelligent Transport Systems (ITS). On the one hand, end-users are concerned about their privacy risk exposure, while on the other hand, ITS providers need to claim privacy awareness and document compliance with regulations or otherwise face devastating fines. One approach to address these concerns is to use methods specifically developed to assess privacy risks of ITS. The literature lacks such methods, and the complex and dynamic nature of ITS introduces challenges that need to be properly addressed when assessing privacy risks. The main challenges are related to real-time assessment of privacy risks to (1) inform end-users about exposed privacy risks, and (2) help providers asses privacy-compliance risks. We propose a method to privacy risk assessment addressing these challenges. The method is exemplified on an ITS-example. The initial results indicate feasibility of the method and propose directions for future work.

Keywords

Privacy risk assessment Intelligent Transport Systems Real-time risk assessment 

Notes

Acknowledgments

This work has been conducted as part of the PrivacyAssessment@SmartCity project funded by SINTEF, as well as the WISER project (653321) funded by the European Commission within the Horizon 2020 research and innovation programme.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Gencer Erdogan
    • 1
    Email author
  • Aida Omerovic
    • 1
  • Marit K. Natvig
    • 1
  • Isabelle C. R. Tardy
    • 1
  1. 1.SINTEF DigitalOsloNorway

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